About the Company TeamBuilderz LLC is a US-based IT staffing and recruitment company that connects professionals with organizations across the United States. The company focuses on creating career opportunities and supporting business growth through talent placement. About the Role TeamBuilderz LLC is seeking a motivated and detail-oriented Entry-Level Data Analyst to join its growing team. This role is suited to candidates who are interested in data analysis and using data to support business decisions. You will work with cross-functional teams to collect and analyze data, identify trends, prepare reports, and develop visualizations that help stakeholders understand business performance. The position also offers opportunities to gain practical experience with analytical tools, databases, and data processes. Key Responsibilities &#x2022;Collect, clean, and analyze large datasets to support business needs.&#x2022;Perform exploratory data analysis (EDA) to identify trends, patterns, and potential insights.&#x2022;Create reports, dashboards, and data visualizations to communicate findings.&#x2022;Work with stakeholders to understand business requirements and analytical needs.&#x2022;Analyze business data and provide actionable insights to support decision-making.&#x2022;Collaborate with engineering and product teams on data-related projects.&#x2022;Document analytical processes and maintain accurate data records and pipelines. Required Qualifications &#x2022;Bachelor&#x2019;s or master&#x2019;s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.&#x2022;Basic knowledge of Excel, SQL, Python, or R.&#x2022;Understanding of fundamental data analysis concepts.&#x2022;Familiarity with databases and reporting tools.&#x2022;Strong analytical and problem-solving skills.&#x2022;Good written and verbal communication skills. Preferred Qualifications &#x2022;Experience with tools such as Excel, Power BI, Tableau, Pandas, or NumPy.&#x2022;Exposure to SQL databases and reporting tools.&#x2022;Knowledge of data visualization techniques.&#x2022;Internship or project experience in data analytics. What the Company Offers &#x2022;Remote work flexibility.&#x2022;Career growth opportunities.&#x2022;Hands-on project experience.&#x2022;A supportive team environment.

Data Analyst (WFH)

About The Company Cox Automotive, based in the United States, is a leading provider of digital marketing, wholesale, and vehicle remarketing solutions for the automotive industry. Renowned for its innovative technology and customer-centric approach, Cox Automotive serves consumers, dealers, and commercial clients by transforming how vehicles are bought, sold, and owned. The company manages a diverse portfolio of iconic brands including Autotrader, Kelley Blue Book, vAuto, and Manheim, offering a comprehensive suite of services that streamline automotive transactions and enhance customer experiences. Cox Automotive prides itself on fostering a collaborative and inclusive work environment, emphasizing integrity, innovation, and excellence. Its commitment to leveraging cutting-edge technology and data-driven insights positions it as a leader in automotive solutions, continuously driving growth and operational efficiency across its global operations. About The Role We are seeking a highly motivated Data Analyst II to join our Data Intelligence &amp; Science team at Cox Automotive. This role is instrumental in supporting Mobile Inspections, one of the largest vehicle inspection operations in the country. The successful candidate will be responsible for building and maintaining comprehensive reporting dashboards, conducting detailed data analysis, and translating complex data into actionable insights that inform operational decisions. This position involves close collaboration with various teams including Operations, Quality Assurance, and Dispatch, to ensure timely and accurate reporting that supports daily business activities and strategic initiatives. The Data Analyst II will play a crucial role in connecting data to actionable outcomes, thereby enabling leadership to monitor performance, identify opportunities for improvement, and optimize operational efficiency. The role offers flexibility to work remotely within the United States, with occasional travel requirements estimated at 5%. This position provides an excellent opportunity for individuals passionate about data, problem-solving, and driving business results through analytics. Qualifications <ul><li>BS/BA Degree in a related discipline such as Data Science, Statistics, Computer Science, or similar.</li><li>Minimum of 2 years of relevant experience in data analysis, reporting, and dashboard development.</li><li>Proven experience with building and maintaining reports and dashboards using PowerBI or similar tools.</li><li>Strong proficiency in SQL, including experience with stored procedures, query optimization, and working with large datasets.</li><li>Hands-on experience with database platforms such as Snowflake, Oracle, MS-SQL, or DB2.</li><li>Familiarity with data visualization, data transformation, and ETL processes.</li><li>Experience working with cloud-based technologies such as AWS.</li><li>Knowledge of data analysis techniques, both quantitative and qualitative.</li><li>Proficiency in Microsoft Office Suite, especially Excel and PowerPoint, for business analysis and reporting.</li><li>Excellent communication skills, with the ability to present complex data insights clearly to leadership.</li><li>Ability to work independently and collaboratively in a fast-paced environment.</li><li>Authorized to work in the United States without sponsorship (no OPT, CPT, STEM/OPT, or visa sponsorship needed). </li></ul>Responsibilities <ul><li>Develop, maintain, and enhance operational reports and dashboards to monitor vehicle inspection performance and other key metrics.</li><li>Perform detailed data analysis to identify trends, patterns, and opportunities for operational improvements.</li><li>Collaborate with cross-functional teams including Operations, Quality Assurance, and Dispatch to understand data needs and deliver relevant insights.</li><li>Extract, clean, and transform data from various sources to ensure accuracy and consistency for analysis.</li><li>Partner with data science and engineering teams to support complex analytical projects and model development.</li><li>Design and implement data processes and pipelines to improve data quality, reliability, and accessibility.</li><li>Support product management by analyzing market opportunities, competitive data, and customer feedback to inform strategic decisions.</li><li>Monitor key performance indicators (KPIs), validate data outputs, and ensure the integrity of reporting systems.</li><li>Create compelling visualizations and reports that communicate insights effectively to non-technical stakeholders.</li><li>Lead initiatives to optimize data workflows, improve data governance, and enhance reporting capabilities.</li><li>Assist in defining KPIs, measuring outcomes, and tracking progress against business objectives. </li></ul>Benefits <ul><li>Flexible paid time off policy, including vacation days, holidays, and wellness hours.</li><li>Comprehensive health insurance options including medical, dental, and vision coverage.</li><li>Retirement savings plan with company contributions (401(k)).</li><li>Paid parental leave, bereavement leave, jury duty, voting leave, and volunteer time off.</li><li>Opportunities for professional growth and development in a dynamic industry.</li><li>Work-life balance supported by flexible work arrangements and remote work options. </li></ul>Equal Opportunity Cox Automotive is an Equal Employment Opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants and employees will receive consideration for employment without regard to age, race, color, religion, sex (including pregnancy), sexual orientation, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. We provide reasonable accommodations to applicants and employees with disabilities in accordance with applicable laws and regulations.

Data Analyst II

Junior Microsoft Fabric ConsultantLocation: Ireland- RemoteSalary: &#x20AC;35,000-&#x20AC;45,000 depending on experienceEmployment: Permanent, Full-Time We are looking for Junior Microsoft Fabric Consultant&apos;s to join a small but highly experienced Data &amp; AI consultancy based in Dublin. The company operates a remote-first model, meaning you can be based anywhere in Ireland and will not be expected to regularly travel into the Dublin office. This is an excellent opportunity for someone in the early stages of their data career who wants to develop into a well-rounded consultant. You&apos;ll work alongside experienced Data &amp; AI professionals, gaining exposure to real client projects while developing your technical skills across Microsoft Fabric and the wider Microsoft data ecosystem. We&apos;re ideally looking for someone with 1&#x2013;2 years of commercial experience and a background in Data Engineering. Previous Microsoft Fabric experience would be highly beneficial, but we&apos;re equally interested in candidates with strong data fundamentals who are curious, eager to learn and comfortable working directly with clients. What You&apos;ll Be Doing<ul><li>Work alongside senior consultants to deliver Data &amp; Analytics solutions for clients.</li><li>Help design, build and maintain modern data solutions using Microsoft Fabric.</li><li>Develop and maintain data pipelines and support data transformation and integration activities.</li><li>Work with technologies such as Microsoft Fabric, SQL, Python, Power BI and Azure.</li><li>Support clients in bringing together data from multiple sources into scalable, reliable data platforms.</li><li>Participate in client meetings, workshops and requirements-gathering sessions.</li><li>Translate business requirements into practical technical solutions with support from senior team members.</li><li>Assist with testing, documentation and deployment.</li><li>Troubleshoot data and platform issues.</li><li>Continue developing your knowledge of Microsoft Fabric and modern Data Engineering practices.</li></ul> What We&apos;re Looking For<ul><li>Approximately 1&#x2013;2 years of professional experience, ideally within Data Engineering, Data &amp; Analytics or a related area.</li><li>A good foundation in SQL and an understanding of data engineering concepts.</li><li>Some experience building or working with data pipelines, ETL/ELT processes or data platforms.</li><li>Exposure to Microsoft Fabric would be highly desirable.</li><li>Experience with technologies such as Python, Power BI, Azure Data Factory, Azure Data Lake or similar would also be useful.</li><li>An interest in developing a career within Microsoft Data &amp; AI consulting.</li><li>Comfortable communicating with clients and explaining technical concepts clearly.</li><li>Strong problem-solving skills and a willingness to ask questions.</li><li>Able to work independently in a remote environment while collaborating closely with the wider team.</li></ul> The Person Technical experience is important, but attitude and potential are equally important for this position. We&apos;re looking for someone who is naturally curious and eager to learn. You don&apos;t need to know everything about Microsoft Fabric already; you&apos;ll be joining an experienced team that can help you develop. You&apos;ll enjoy investigating problems, learning new technologies and understanding how things work rather than simply following instructions. Because this is a consultancy, you&apos;ll also need to enjoy working with people. You should be comfortable speaking with clients, asking questions, understanding their challenges and gradually developing into someone they can trust to advise them. What&apos;s On Offer<ul><li>&#x20AC;35,000&#x2013;&#x20AC;45,000 salary, depending on experience.</li><li>Permanent position.</li><li>Remote-first working from anywhere in Ireland.</li><li>Opportunity to specialise in Microsoft Fabric and modern Data Engineering.</li><li>Hands-on exposure to real client projects from an early stage.</li><li>Mentoring and support from a small, highly experienced consultancy team.</li><li>Significant opportunity for learning and professional development.</li><li>The chance to develop both your technical and consulting skills, rather than being limited to a purely technical role.</li></ul>

Junior Microsoft Fabric Consultant

**Associate Data Analyst (Remote)** **About the Role** Arkestro is seeking an Associate Data Analyst to join the Intelligent Virtual Assistant (IVA) division within the Arkestro Intelligent Self-Service department. This role supports IVA continuous improvement and internal projects by analyzing natural language, user behavior, and priority analysis results using an evidence-based approach. The Associate Data Analyst works with analysts, project managers, engineering teams, and customer subject matter experts to connect data analysis findings with business objectives. The role uses the Arkestro suite of analysis tools and other applications, with a strong focus on Microsoft Excel, to develop analyses, prepare recommendations, and support improvements to IVA implementations and user experiences. **Key Responsibilities** * Conduct quality analysis of Intelligent Virtual Assistant (IVA) implementations.* Build data models and libraries, interpret insights, and support business decisions with customers.* Research and understand client domains and critical business needs to help define and improve IVA performance.* Analyze user behavior and needs to identify opportunities for improving the user experience.* Develop actionable recommendations for the design and improvement of IVAs and overall user experience.* Prepare presentation materials and analysis findings for internal review with project teams.* Collaborate with analysts, project managers, engineering teams, and customer subject matter experts.* Communicate work status to managers and project managers to support project planning.* Present recommendations to clients in a compelling and professional manner.* Obtain client approval of recommendations before continuing IVA development and improvement.* Use established and creative analytical techniques when evaluating user data.* Work within established review processes, with recommendations approved by analysts and project teams before customer presentation. **Required Qualifications** * Bachelor&#x2019;s degree in Analytics, Linguistics, a related field, or equivalent work experience.* 0&#x2013;2 years of experience in analysis.* Strong written and verbal communication skills.* Ability to work effectively within a team and maintain strong interpersonal relationships.* Ability to manage multiple tasks according to priorities and meet deadlines.* Ability to communicate work status clearly to managers and project managers.* Ability to present recommendations professionally and effectively to clients.* Proficiency with Windows OS and Microsoft Office, with a focus on Excel.* Ability to successfully complete applicable background screening processes, including employment verification, criminal search, OFAC, Social Security verification, and credit and drug screening where applicable and permitted by federal and local regulations. **Preferred Qualifications** * Strong time-management skills and demonstrated ability to meet deadlines.* Passion for data and language.* Basic understanding of Python, R Studio, or other data analysis applications. **Skills &amp; Competencies** * Data analysis* Data modeling* Microsoft Excel* Microsoft Office* Natural language analysis* User behavior analysis* User experience analysis* Business requirements analysis* Data-driven recommendations* Client communication and presentations* Problem-solving* Task prioritization and multitasking* Project coordination* Written and verbal communication* Python or R Studio **Work Environment** * Remote position.* Assigned to the Intelligent Virtual Assistant (IVA) division within Arkestro Intelligent Self-Service.* Supports IVA continuous improvement and internal projects.* Works collaboratively with analysts, project managers, engineering teams, and customer subject matter experts.

Data Analyst - Remote Role

About The Company Palantir is a leading technology company dedicated to developing innovative data integration and analytics solutions that empower organizations to make data-driven decisions. With a focus on complex and sensitive data environments, Palantir provides software platforms that enable clients across various sectors&#x2014;including government, finance, healthcare, and manufacturing&#x2014;to harness the power of their data effectively. Known for its commitment to solving real-world problems through cutting-edge technology, Palantir fosters a collaborative and innovative work culture that encourages continuous learning and development. About The Role We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team at Palantir. In this role, you will be responsible for analyzing large datasets, developing insights, and delivering actionable recommendations to our clients. The ideal candidate will have a strong background in data analysis, proficiency in data visualization tools, and the ability to communicate complex findings clearly and effectively. This position offers an exciting opportunity to work on impactful projects that drive strategic decision-making and operational improvements across diverse industries. Qualifications <ul><li>Bachelor&#x2019;s or Master&#x2019;s degree in Data Science, Statistics, Computer Science, or a related field.</li><li>Proven experience in data analysis, with a strong understanding of statistical methods and data modeling techniques.</li><li>Proficiency in SQL, Python, R, or other relevant programming languages.</li><li>Experience with data visualization tools such as Tableau, Power BI, or similar platforms.</li><li>Excellent analytical and problem-solving skills, with the ability to interpret complex data sets.</li><li>Strong communication skills to effectively present findings to both technical and non-technical stakeholders.</li><li>Ability to work independently and collaboratively in a fast-paced environment. </li></ul>Responsibilities <ul><li>Collect, clean, and analyze large datasets to identify trends, patterns, and insights relevant to client needs.</li><li>Develop and maintain dashboards and reports that communicate key findings clearly and effectively.</li><li>Collaborate with cross-functional teams, including data engineers, product managers, and clients, to understand requirements and deliver tailored solutions.</li><li>Design and implement data models and algorithms to support predictive analytics and decision-making processes.</li><li>Ensure data quality and integrity by establishing and following best practices for data management.</li><li>Participate in client meetings to present findings, provide recommendations, and support the implementation of data-driven strategies.</li><li>Stay updated on industry trends and emerging technologies to continuously improve analytical capabilities and methodologies. </li></ul>Benefits Palantir offers a comprehensive benefits package designed to support the well-being and professional growth of its employees. Employees enjoy competitive salary packages, health insurance, retirement plans, and generous paid time off. The company promotes a healthy work-life balance through flexible working hours and remote work options. Palantir also invests in ongoing training and development programs to help employees enhance their skills and advance their careers. Additional perks include wellness programs, employee resource groups, and opportunities for international collaboration and travel. Equal Opportunity Palantir is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued, respected, and empowered to contribute their best. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, or any other protected characteristic. Our hiring practices are designed to ensure fairness and equal opportunity for all qualified candidates.

Remote AI Engineer

We have an exciting opportunity for a Data Analyst to join our Analytics team, using data and operational insight to help improve both the participant experience and the journey of biosamples through our study.You&apos;ll work closely with operational and technical teams to understand performance, investigate complex problems and turn data into practical recommendations. From understanding participant contact volumes and service demand to identifying bottlenecks across biosample logistics, your analysis will help teams make better decisions, improve processes and deliver more efficient and reliable operations.Despite big improvements in healthcare in our lifetimes, today millions of people in the UK still live in poor health as they get older. Diseases like cancer, dementia, diabetes, and heart disease affect the lives of many people in our communities. Our goal is to create a world-leading resource for health research, to improve our understanding and spot the patterns of how and why common diseases start, so treatments can begin sooner and be more effective.Our Future Health will be the UK&apos;s largest ever health research programme, bringing people together to develop new ways to detect, prevent, and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK.What you&apos;ll be doing:In this role, you&apos;ll partner with teams across Participant Support Operations, Clinical Operations and Analytics to solve operational problems using data and evidence. You&apos;ll develop trusted reporting and metrics, investigate issues across multiple systems and help teams move towards more proactive, data-informed performance management.Your key responsibilities will include but not be limited to:<ul><li>Analyse participant contact volumes, service performance, complaints and backlogs, using forecasting and capacity planning to help teams understand and manage demand</li><li>Identify trends and drivers within participant enquiries and complaints, turning your findings into actionable recommendations to improve participant experience and operational efficiency</li><li>Analyse the end-to-end biosample journey across operational, logistics and laboratory systems, identifying delays, discrepancies, anomalies and quality issues</li><li>Use SQL and exploratory analysis to investigate data across multiple systems, reconstruct operational workflows and identify the root causes of issues</li><li>Develop and maintain operational reporting, performance metrics and monitoring across participant support and biosample operations</li><li>Work with Analytics Engineers, Data Scientists and operational teams to improve data quality, traceability and reporting capability</li><li>Translate operational questions into structured analytical approaches and communicate findings clearly to both technical and non-technical stakeholders</li><li>Help teams move from manual and reactive reporting towards proactive performance management and data-informed decision-making</li></ul>You&apos;ll be part of a wider Analytics function made up of analysts, data scientists and data engineers. The team works remotely, coming together in person twice a month for collaboration and co-working, as well as quarterly strategy days focused on planning, problem-solving and longer-term thinking. We also have a regular book club and team demos, which give us space to learn together and celebrate what we&apos;re building.&#xA0; Hiring Process&#xA0;We feel&#xA0;hiring should be transparent&#xA0;and give you a&#xA0;real&#xA0;sense&#xA0;for what&#xA0;Our Future Health&#xA0;is like.&#xA0;Here&apos;s&#xA0;what&#xA0;you can&#xA0;expect:&#xA0;<li>Initial chat&#xA0;with our Talent team (30 min)&#xA0;to get to know each other, discuss the role, and answer any questions&#xA0;you have</li><li>1st&#xA0;interview&#xA0;with our&#xA0;Analytics Manager&#xA0;(25&#xA0;min)&#xA0;- this is an opportunity to meet your potential line manager and&#xA0;for you both to&#xA0;align on role expectations</li><li>Technical&#xA0;interview&#xA0;with&#xA0;2-3&#xA0;members from our Analytics team (60&#xA0;min).&#xA0;This will include a&#xA0;short&#xA0;task&#xA0;you&apos;ll&#xA0;need to prepare in advance of the interview and is designed to get a sense for how&#xA0;you&apos;d&#xA0;approach the real-world responsibilities of this role</li><li>Final stage competency interview (60 min)&#xA0;with a small cross-functional panel of your potential new stakeholders. This will&#xA0;focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real-world projects </li>Requirements We recognise that candidates may have developed relevant experience through different career paths and welcome applications from those who can demonstrate many, though not necessarily all, of the skills and experience listed below:<ul><li>Strong SQL skills and experience working with relational databases and cloud data platforms such as Snowflake</li><li>Experience analysing complex operational data from multiple systems and investigating data quality issues, discrepancies and operational risks</li><li>Experience developing and maintaining reporting, dashboards, datasets or other analytical products used by operational teams</li><li>An understanding of operational performance analysis, which could have been developed within areas such as healthcare, logistics, customer operations, participant services, research or another complex operational environment</li><li>Familiarity with data modelling concepts and experience collaborating with Analytics Engineering or Data Engineering teams</li><li>Strong problem-solving skills, with the ability to investigate root causes and turn analysis into practical recommendations</li><li>The ability to communicate complex analytical findings clearly and build effective relationships with both operational and technical stakeholders</li><li>An organised and adaptable approach, with the ability to manage competing priorities while maintaining a high level of accuracy and attention to data quality</li><li>Knowledge of forecasting, capacity planning, performance measurement or operational analytics methodologies would be advantageous</li><li>An understanding of statistical concepts and performance monitoring techniques, such as variation analysis or statistical process control, would be beneficial</li><li>Experience using Python or R for data manipulation, analysis, automation or exploratory investigation would also be beneficial. </li></ul>Benefits <ul><li>From &#xA3;53,000 annum basic salary.</li><li>Generous Pension Scheme - We invest in your future with employer contributions of up to 12%</li><li>30 Days Holiday + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you</li><li>Enhanced Parental Leave - Supporting you during life&apos;s biggest moments</li><li>Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice</li><li>Home &amp; Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice</li><li>&#xA3;1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board!</li><li>Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family</li><li>A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements</li></ul>Join us - let&apos;s prevent disease together.Closing date: 12 October 2026 at 5:00 pmWe may close this vacancy earlier than the advertised closing date if we receive a high volume of applications, so we encourage you to apply as soon as possible.At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process.If you do require any reasonable adjustments, please email us at talent@ourfuturehealth.org.uk.

Data Analyst - Participant Support Operations & Clinical Operations

<div>
<h3>Data Scientist</h3>
<a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a> is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.
Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like — turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.
This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.
As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.
<h3>What You Will Do:</h3>
<ul>
<li>Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.</li>
<li>Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.</li>
<li>Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.</li>
<li>Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.</li>
<li>Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.</li>
</ul>
<h3>What You Will Bring:</h3>
<ul>
<li>0–2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.</li>
<li>Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.</li>
<li>Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.</li>
<li>Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.</li>
<li>Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.</li>
</ul>
<h3>Preferred Qualifications:</h3>
<ul>
<li>Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.</li>
<li>Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.</li>
<li>Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.</li>
</ul>
</div><div>
<h3>Who We Are</h3>
<div>A pioneer of Revenue Management, <a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a> is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, <a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a>’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how <a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a> is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.</div>
<div>Visa sponsorship is not available for this role. <a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a> embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.</div>
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Data Scientist

Company Description: PEP Health uses advanced AI technology to transform millions of online patient reviews from across the web and social media into actionable insights. These real-time, large-scale insights help healthcare payers and providers understand patient experience and improve services. The organization focuses on leveraging data to inform decisions that enhance care quality, patient satisfaction, and operational performance.&#xA0;PEP Health is virtually headquartered in London and operates across the UK and USA. Role Description: The Data Insights Analyst role is a full-time, remote but UK based, position. This role involves analyzing patient review data and related datasets to generate meaningful insights for healthcare payers and providers. The analyst will design and run analyses, write reports, and translate complex findings into clear, understandable narratives for internal teams and external clients. The role requires use of SQL databases and Jupyter notebooks to write presentations, while also contributing to methodology improvements and ensuring data quality across projects. What You&#x2019;ll Be Doing<ul><li>Analysing in-house and external data sources to identify trends, patterns, and actionable insights</li><li>Writing reports, presentations and visualisations for clients and internal stakeholders</li><li>Using statistical modelling, predictive analytics and, where appropriate, machine learning techniques to generate actionable insights</li><li>Taking ownership of complex analytical projects from initial scoping and requirements gathering to successful project delivery</li><li>Writing long-form presentations that translate analytical findings into clear, commercially relevant recommendations</li><li>Presenting complex information in a way that engages non-technical audiences</li><li>Collaborating with data engineers to improve data collection, storage and quality</li></ul> Qualifications<ul><li>2+ years&#x2019; experience as a data or insights analyst in a commercial setting</li><li>Strong analytical skills to interpret complex datasets, identify patterns, and support evidence-based conclusions</li><li>Experience with machine learning models and statistical techniques to explore large textual datasets</li><li>Proficiency in data analytics, including using tools such as SQL, Python and Jupyter notebooks to manipulate and visualize data</li><li>Demonstrated experience querying large, cloud-based datasets to identify trends, patterns, and actionable insights</li><li>Bachelor&#x2019;s degree or equivalent experience in a quantitative related field (e.g., Data Science, Statistics, Maths)</li><li>Familiarity with NLP models and patient experience data is an advantage</li></ul>

Data Insights Analyst

Data Analyst (Fully Remote United Kingdom) Entry Level &#xA3;40,000&#x2013;&#xA3;45,000 &#x26A1; Fast-Track Your Application: Click &quot;Apply on Company Website&quot; to submit your CV. Our system auto-parses your resume so you can complete your application in 20&#x2013;25 seconds and instantly unlock access to similar active UK graduate jobs! OverviewCV-BRIDGE LTD is looking for a detail-oriented and analytical Data Analyst to join our remote UK-based team.This role is ideal for someone who enjoys working with data, identifying trends and turning information into clear, useful insights. It is well suited to an entry-level candidate with strong analytical thinking, attention to detail and an interest in data-driven decision-making.Job Snapshot&#x1F4CD; Location: United kingdom&#x1F3E0; Workplace: Remote&#x1F4BC; Job Type: Permanent&#x23F0; Employment: Full-Time&#x1F3AF; Experience: Entry Level&#x1F4B7; Salary: &#xA3;40,000&#x2013;&#xA3;45,000 per annumKey Responsibilities&#x2022; Collect, organise and analyst business data&#x2022; Clean and validate datasets to maintain accuracy&#x2022; Identify trends, patterns and meaningful insights&#x2022; Prepare reports, dashboards and data summaries&#x2022; Support teams with data-driven analysis and reporting&#x2022; Maintain accurate records and structured datasets&#x2022; Help monitor key metrics and performance indicators&#x2022; Present findings in a clear and understandable format&#x2022; Support continuous improvement across reporting and analytical processesRequirements&#x2022; Strong analytical and problem-solving skills&#x2022; Good attention to detail and data accuracy&#x2022; Comfortable working with Excel and spreadsheets&#x2022; Understanding of SQL, Power BI or similar analytical tools is beneficial&#x2022; Ability to organize and interpret large amounts of information&#x2022; Good written and verbal communication skills&#x2022; Able to explain analytical findings clearly&#x2022; Ability to manage priorities and work independently in a remote environment&#x2022; Academic projects, internships or previous data/reporting experience are beneficialWhat We Offer&#x2022; &#xA3;40,000&#x2013;&#xA3;45,000 annual salary&#x2022; Remote UK working arrangement&#x2022; Permanent, full-time position&#x2022; Opportunity to build practical data analysis and reporting experience&#x2022; Exposure to modern analytical tools, dashboards and reporting workflows&#x2022; Opportunity to strengthen data, business intelligence and problem-solving skills&#x2022; Career development within a growing UK-focused businessHow to ApplyApply in around 20&#x2013;25 seconds &#x2014; confirm your details, upload your CV and submit your application.

Data Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst based in United Kingdom. This role offers the opportunity to take ownership of the fraud analytics side of a growing user segmentation system. You&#x2019;ll analyze behavioral and fraud-related signals to distinguish legitimate users from suspicious activity. Your work will directly support product decisions, revenue-sharing models, and user verification strategies. You&#x2019;ll collaborate closely with product, data, and analytics colleagues to turn insights into practical fraud controls. Because fraud patterns continuously evolve, you&#x2019;ll regularly refine detection signals and monitor how effectively segments perform over time. You&#x2019;ll also investigate ambiguous cases and identify opportunities to improve review processes and fraud prevention tools. The role is part of a fast-moving, international environment where analytical thinking and cross-functional collaboration have a direct impact. Accountabilities <ul><li>Review and continuously refine fraud signals, adding, removing, and adjusting indicators to distinguish suspicious activity from legitimate users. </li><li>Analyze signals such as IP spoofing, VPN usage, unusual gameplay patterns, and other behavioral indicators to identify potential fraudulent activity. </li><li>Own the fraud-related components of the user segmentation system, including defining how signals should be interpreted and monitoring segment performance over time. </li><li>Partner with product and data teams to determine appropriate verification approaches for different markets, including facial verification, ID scanning, phone verification, and other methods. </li><li>Investigate users flagged for manual review, including ambiguous cases, and identify opportunities to make the review process more efficient and effective. </li><li>Identify gaps in available fraud signals and assess third-party tools or solutions that could strengthen the product roadmap. </li><li>Translate analytical findings into practical recommendations and operational fraud controls. </li></ul>Requirements <ul><li>Hands-on experience using data to investigate fraud and influence fraud detection or prevention decisions. </li><li>Experience designing, refining, or evaluating fraud signals, user segmentation frameworks, detection rules, or review processes. </li><li>Strong analytical skills and the ability to investigate complex or ambiguous user behavior using data. </li><li>Understanding of how fraud tactics evolve and an interest in continuously adapting detection approaches accordingly. </li><li>Ability to collaborate effectively with product, data, and other cross-functional teams to turn analysis into actionable solutions. </li><li>Strong problem-solving and critical-thinking skills, with a structured and detail-oriented approach to investigations. </li><li>Ability to communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders. </li><li>Professional working proficiency in English, with the ability to participate in meetings, work with documentation, and communicate clearly in a fast-paced international environment. </li></ul>Benefits <ul><li>Remote working opportunity within Europe, with Warsaw preferred for collaboration with team members based there. </li><li>Opportunity to take ownership of an important fraud analytics function within a growing product area. </li><li>Direct exposure to product strategy, user segmentation, fraud prevention, and verification technologies. </li><li>Collaboration with experienced product, data, and analytics professionals in an international environment. </li><li>Opportunity to influence fraud detection processes and contribute to decisions across multiple markets. </li><li>Exposure to evolving fraud patterns, analytical challenges, and emerging verification solutions. </li><li>A role where data-driven insights have a direct impact on product and business decisions. </li></ul>How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role&apos;s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job ID: 2617291 Location: Remote Work, DC, US Date Posted: 2026-09-28 Category: Information Technology Subcategory: Metrics and Data Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: None Clearance Level Must Be Able to Obtain: Public Trust Potential for Remote Work: ORA_REMOTE Description SAIC has an opportunity for a Junior FAA Aviation Data Analyst. This role is remote and requires 10% travel. Responsibilities: <ul><li>Reviews aviation-related information to assist in decisions about flight routes, spending practices, employee efficiency, safety, aviation regulations (including national security) and other topics. Uses data to make predictions and give estimations related to all aspects of aviation. </li><li>Performs operational analysis and develop concept of operations. Analyzes Architecture/overall systems design, concept of operations, design, and implementation plans.</li><li>Perform data driven assessments to include alternative courses of action when one or more interdependent project(s) experiences a delay, and opportunities for new technology insertions.</li><li>Provide technical assistance in strategic planning, research and development, operations research, systems engineering, and briefing development support.</li><li>Additionally, tasks will include the preparation and development of various documents and briefings.</li><li>Position may require firsthand support for Business Process Re-engineering (BPR) to:</li><ul><li>Include development of As-Is Analysis, To-Be Analysis, and Alternatives Analysis, to make recommendations as to improving existing processes and procedures for organizations within and related to the BNATCS RSR Program. </li></ul></ul>Qualifications Required Education &amp; Experience: <ul><li>Bachelors and 2-5 years of related experience; Masters and 1 year or more experience</li><li>Five years of relevant experience may be substituted for the Bachelor&apos;s Degree. Equivalent aviation data analyst experience in the U.S. Military or international control environment is acceptable.</li><li>Proficiency in aviation data analysis tools and software (such as Tableau, Excel, or similar platforms).</li><li>Strong understanding of FAA regulations, national security protocols, and industry best practices is highly preferred.</li><li>Experience in developing and presenting technical briefings to stakeholders at various organizational levels.</li><li>Ability to conduct Business Process Re-engineering (BPR) and lead process improvement initiatives.</li><li>Excellent written and verbal communication skills, including the ability to prepare technical documents and reports.</li><li>Familiarity with systems engineering and operations research methodologies is a plus. </li></ul>Required Clearance: <ul><li>US Citizenship.</li><li>FAA Suitability: Ability to obtain and maintain FAA public trust and FAA resume approval. </li></ul>Target salary range: $40,001 - $80,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

FAA Aviation Data Analyst Junior

EverCommerce (Nasdaq: EVCM) is a leading service commerce platform, providing vertically-tailored, integrated SaaS solutions that help more than 745,000 global service-based businesses accelerate growth, streamline operations, and increase retention. Its modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals. With its EverPro, EverHealth, and EverWell brands specializing in Home, Health, and Wellness service industries, EverCommerce provides end-to-end business management software, embedded payment acceptance, marketing technology, and customer experience applications. Learn more at EverCommerce.com. We are building an extraordinary company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: https://www.evercommerce.com/about-us/careers/ EverHealth, a business within EverCommerce, provides modern end-to-end solutions for healthcare providers. Our open, connected ecosystem of solutions and services helps providers engage patients, increase revenue, improve business efficiency, and remain market competitive. We serve 72,000 healthcare practices and counting.&#x202F;EverHealth consists of five SaaS products; DrChrono, iSalus, CollaborateMD, Updox, and MDTec, combined these products offer end to end solutions for the health care industry. The Pre-Sales Insights Analyst is a key member of EverHealth&apos;s Revenue Analytics &amp; Insights team, responsible for owning analytics across the pre-sales funnel from lead through closed-won. Reporting to the Revenue Analytics &amp; Insights Manager, this role partners closely with Sales, Marketing, and RevOps to improve funnel performance, pipeline quality, and go-to-market decision-making. Supporting four EverHealth product lines (DrChrono, CMD, Updox, and iSalus), the analyst will build scalable reporting and insights around funnel conversion, ICP segmentation, win/loss analysis, and pipeline health. This role transforms fragmented sales data into actionable insights that help leadership identify the best customer segments, improve conversion rates, increase forecast accuracy, and optimize GTM strategy. Responsibilities <ul><li>Own the analytical view of the pre-sale funnel from lead through closed-won. </li><li>Build and maintain funnel conversion reporting (Lead &#x2192; MQL &#x2192; SAL &#x2192; SQL &#x2192; Closed-Won). </li><li>Identify conversion gaps by product, segment, channel, and rep cohort. </li><li>Develop and maintain pipeline quality scoring based on fit, engagement, deal age, and stage velocity. </li><li>Analyze pipeline velocity and identify stall points. </li><li>Measure inbound and outbound lead quality by source, channel, and campaign. </li><li>Analyze SDR conversion rates and identify top-performer patterns. </li><li>Analyze AE performance, pipeline coverage, velocity, and closed-won rates. </li><li>Perform closed-lost analysis by stage, reason, segment, and competitor. </li><li>Build and maintain the Ideal Customer Profile (ICP) framework. </li><li>Support ICP scoring models and refine lead scoring criteria. </li><li>Analyze segment performance, win rates, ACV, sales cycle, CAC, and time-to-value. </li><li>Build cohort analysis across products, segments, channels, and acquisition periods. </li><li>Support TAM and addressable market analysis using enrichment data. </li><li>Track ICP deviations and identify off-ICP win/loss trends. </li><li>Own the win/loss analysis program, including methodology, reporting, and competitive intelligence. </li><li>Produce recurring win/loss reports and actionable insights for Sales and Product leadership. </li><li>Support GTM planning with funnel benchmarks, quota attainment, capacity modeling, and productivity analysis. </li><li>Leverage AI tools (Claude, ChatGPT, etc.) to accelerate analytics, reporting, and build reusable prompt libraries. </li><li>Build and maintain Salesforce reports and dashboards for funnel, pipeline quality, quota attainment, and self-service analytics. </li></ul>Skills and Experience needed for success in this role: <ul><li>2+ years in Sales Analytics, Revenue Operations, Business Intelligence, or GTM Analytics with ownership of recurring reporting and analytical deliverables. </li><li>Strong Salesforce reporting and dashboard experience with knowledge of the SFDC data model and data quality management. </li><li>Advanced Excel skills (Pivot Tables, XLOOKUP, formulas, data modeling). </li><li>Experience building funnel, conversion, and pipeline analytics, including stage conversion and drop-off analysis. </li><li>Strong analytical and problem-solving skills with the ability to translate business questions into actionable insights. </li><li>Comfortable working with imperfect data and driving continuous improvements. </li><li>Excellent written and verbal communication skills with experience presenting insights to business leaders. </li><li>Experience using AI/LLM tools (e.g., ChatGPT, Claude) to improve analytics and reporting workflows. </li></ul>Preferred <ul><li>Experience with ICP analysis, pipeline quality scoring, or win/loss analysis. </li><li>Knowledge of B2B SaaS metrics including MQL, SQL, ACV, CAC, pipeline coverage, and sales cycle analytics. </li><li>Healthcare or HealthTech experience. </li><li>Experience with BI tools such as Tableau, Power BI, Looker, or Metabase. </li><li>SQL proficiency for self-service analysis. </li><li>Experience with CRM enrichment or sales intelligence tools (Gong, 6sense, Bombora, ZoomInfo, etc.). </li><li>Familiarity with prompt engineering and AI-assisted analytics, including AI agents or workflow automation. </li></ul>Where: The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K., Jordan, New Zealand, and Australia. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States - if you&#x2019;re close to one of our offices, we can set you up in-office or you can work 100% remotely.&#x202F;Please note that you must be eligible to work without sponsorship to qualify for this position, and this role may require travel to our Corporate Headquarters in Denver, Colorado, or to other office locations around North America. Benefits and Perks: <ul><li>Flexibility to work where/how you want within your country of employment &#x2013; in-office, remote, or hybrid </li><li>Continued investment in your professional development </li><li>Day 1 access to a robust health and wellness benefits package, including an annual wellness stipend. </li><li>401k with up to a 4% match and immediate vesting </li><li>Flexible and generous (FTO) time-off </li><li>Employee Stock Purchase Program </li></ul>Compensation: The target base compensation for this position is $85,000 to $100,000 USD year in most US locations.&#x202F;Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above. EverCommerce is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. We look forward to reviewing your credentials and getting to know more about your experience! EverCommerce uses approved artificial intelligence (&#x201C;AI&#x201D;) tools to support its business operations. Employees are encouraged to use authorized AI tools, when appropriate for their roles, to improve efficiency, quality, and innovation. All AI use must comply with company policies, including requirements concerning confidentiality, data security, intellectual property, accuracy, and human review. Employees remain responsible for reviewing and validating AI-assisted work.

EverHealth - Sales Insights Analyst (Remote, US)

Vacancy Number: 025437 Agency: Power and Water Corporation Number of Vacancies: 1 Work Unit: Customer and Strategy Location: Darwin Primary Objective: Lead the delivery and continuous improvement of customer sustainability, demand management and efficiency initiatives in remote communities, with a particular focus on water and energy efficiency, technical analysis, community engagement, project delivery and implementation of strategies and programs that improve customer outcomes and resource sustainability. Selection will be made at the 3ACS or 3PR level depending on the experience/qualifications of the successful applicant. Contact: Joel Spry, Manager Demand Management on 08 8924 5124 or joel.spry@powerwater.com.au Remuneration Package: Remuneration Package $141,070 - $170,631 (including salary $124,487 - $150,887) Experience Level: Band 3 Administrative Corporate Services

Demand Management Coordinator - Remote

About the Role At Protecht, we&apos;re redefining how the world thinks about risk. Our cloud based SaaS platform, Protecht ERM, is one of the most comprehensive and dynamic risk management solutions on the market. With offices across APAC, the USA, and Europe, we help organisations turn risk into opportunity through smarter, more agile decision making. The Analytics Consultant is responsible for the design and delivery of high quality dashboards and reports for Protecht&apos;s customers and internal teams, using Protecht&apos;s own Business Intelligence tools. Working closely with Business Analysts, customers, and internal stakeholders, you&apos;ll turn documented requirements into effective reporting solutions while contributing to the continued improvement of Analytics delivery standards. In this delivery focused role, you&apos;ll manage your work through the full implementation lifecycle, from development through to testing, UAT support and deployment, while building your understanding of Protecht.ERM&apos;s data structures and reporting capabilities. Key Responsibilities <ul><li>Build high quality dashboards and reports using Protecht&apos;s Business Intelligence tools.</li><li>Work with Business Analysts, customers and internal stakeholders to understand and clarify reporting requirements.</li><li>Deliver Analytics work through the implementation lifecycle, including development, testing, UAT support and deployment.</li><li>Validate data, calculations, filters and visualisations to ensure solutions meet documented requirements.</li><li>Deliver assigned work within agreed estimates and sprint timeframes.</li><li>Participate in peer reviews and incorporate feedback to improve solution quality.</li></ul> About You <ul><li>Experience developing dashboards, reports or data visualisations using Business Intelligence tools.</li><li>Working knowledge of SQL, relational databases and data structures.</li><li>Strong analytical and problem solving skills, with high attention to detail.</li><li>Ability to produce clear and professional documentation.</li><li>Strong communication and interpersonal skills, and the ability to work collaboratively as part of a delivery team.</li><li>Relevant tertiary qualification or equivalent practical experience.</li><li>Australian citizen or demonstrated right to live and work permanently in Australia.</li></ul> Desirable Skills <ul><li>Experience with InetSoft Style Intelligence BI.</li><li>Experience with ThoughtSpot or Power BI.</li><li>JavaScript or other scripting experience.</li><li>SaaS or consulting experience.</li><li>Risk Management or GRC experience.</li></ul> Why Join Protecht? <ul><li>Work with a collaborative, values driven team.</li><li>Be part of a company that&apos;s shaping the future of enterprise risk management.</li><li>Clear progression path into leadership for high performers.</li><li>Flexible, remote friendly work environment.</li></ul> Apply now to make your mark in a role where data meets strategy and innovation drives success.

Analytics Consultant

Jobright is an AI-powered job search agent that simplifies and accelerates the job search process. The Entry Level Business Intelligence Data Analyst turns operational data into reports, dashboards, and actionable insights while supporting business decisions through data analysis, quality management, and stakeholder communication. Why Join Us &#x2022; Build real, production AI agents used by real users&#x2022; High ownership and impact&#x2022; Work at the intersection of AI, agents, and product&#x2022; Shape how people experience AI-driven job search Responsibilities &#x2022; Query, clean, and validate data used in recurring business reports&#x2022; Build and maintain dashboards that track key performance indicators&#x2022; Prepare clear summaries of trends, changes, and business outcomes&#x2022; Support ad hoc analysis for product, operations, and growth teams&#x2022; Investigate data-quality issues and document assumptions or limitations&#x2022; Translate business questions into measurable analytical requirements&#x2022; Maintain reporting definitions and reusable analysis documentation&#x2022; Present findings in a concise format for technical and non-technical partnersQualification Required &#x2022; Working knowledge of SQL and spreadsheet analysis&#x2022; Familiarity with data visualisation and dashboard concepts&#x2022; Strong analytical thinking and attention to data quality&#x2022; Ability to explain findings clearly in writing and conversation&#x2022; Organised approach to documentation and repeatable reporting&#x2022; Reliable internet connection and a suitable remote work environment in the United Kingdom Preferred &#x2022; Experience with Tableau, Power BI, Looker, or a similar BI tool&#x2022; Exposure to Python or R for data analysis&#x2022; Coursework, projects, or internships involving business metrics and reporting

Data Analyst, Business Intelligence — Entry Level

This is a Fully Remote Job About Our Client:Anytime Fitness operates within the fitness and wellness industry, providing 24/7 access to health and fitness resources. The organization addresses challenges related to supporting members in achieving their wellness goals by fostering a supportive community and maintaining a large franchise network that emphasizes accessibility and member engagement. About the Opportunity:The DATA ANALYST role is focused on transforming raw data into actionable insights that support smarter business decisions and enhance member services. This position plays a crucial role in monitoring key performance indicators, delivering data-driven recommendations, and collaborating across teams to optimize operational and revenue outcomes. Responsibilities:<ul><li>Collect, clean, and analyze large datasets to identify trends and insights</li><li>Build and maintain dashboards and reports for leadership decision-making</li><li>Monitor KPIs related to membership, revenue, and operations</li><li>Collaborate with teams to define data needs and provide actionable recommendations</li><li>Develop and optimize SQL queries and data models for reporting</li><li>Present findings clearly to technical and non-technical stakeholders</li><li>Identify opportunities for process improvement through data analysis</li></ul> Requirements:<ul><li>Bachelor&apos;s degree in Data Science, Statistics, Mathematics, Business, or related field</li><li>Proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI</li><li>Experience in data analysis, reporting, and statistical modeling</li><li>Strong analytical, problem-solving skills, and attention to detail</li><li>Ability to communicate complex data insights clearly and concisely</li><li>Experience with Python or R is a plus</li><li>Self-starter capable of managing multiple projects and deadlines</li></ul> Pay Range and Compensation Package:<ul><li>The pay range and compensation package for this role will be determined based on the candidate&apos;s experience, skills, and other relevant factors.</li></ul> Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note:TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Data Analyst Remote

About CompanyDroisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Position: Data Analyst (Fresher)Remote USA - Should be open to Travel to Las Vegas Office When required. Job Responsibilities: <ul><li>Collect, clean, and organize data from various sources to ensure accuracy and reliability.</li><li>Analyze datasets to identify trends, patterns, and actionable insights that support business decisions.</li><li>Create and maintain reports, dashboards, and visualizations using tools such as Excel, Power BI, or Tableau.</li><li>Assist in preparing data summaries and presentations for stakeholders and management.</li><li>Perform data validation and quality checks to ensure data integrity.</li><li>Support business teams by providing timely and accurate analytical reports.</li><li>Work with databases and write basic SQL queries to retrieve, update, and manage data.</li><li>Collaborate with cross-functional teams to understand business requirements and reporting needs.</li><li>Monitor key performance indicators (KPIs) and generate periodic performance reports.</li><li>Help automate recurring reports and data collection processes where applicable.</li><li>Document data definitions, methodologies, and analysis procedures.</li><li>Stay updated on industry trends, data analytics tools, and best practices.</li></ul> Required Skills<ul><li>Bachelor&apos;s degree in Computer Science, Statistics, Mathematics, Business Analytics, or a related field.</li><li>Basic knowledge of SQL and database concepts.</li><li>Proficiency in Microsoft Excel, including formulas, pivot tables, and data analysis techniques.</li><li>Familiarity with Power BI, Tableau, or other data visualization tools.</li><li>Understanding of statistics and data analysis concepts.</li><li>Strong analytical and problem-solving skills.</li><li>Good communication and presentation abilities.</li><li>Ability to work independently and collaboratively in a team environment.</li><li>Preferred Qualifications</li><li>Internship or academic project experience in data analysis.</li><li>Basic knowledge of Python or R for data analysis.</li><li>Familiarity with data warehousing and ETL concepts.</li><li>Exposure to cloud platforms such as Azure, AWS, or Google Cloud is a plus.</li></ul> #Hiring #DataAnalyst #FresherJobs #EntryLevelJobs #Analytics #PowerBI #SQL #Excel #DataVisualization #CareerOpportunity Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

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