<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

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)

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.

Data Analyst

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. 
Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, <a href="https://www.linkedin.com/in/pingwu/" rel="nofollow ugc noopener" target="_blank">Ping Wu</a>, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.
Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.
Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is<a href="https://www.linkedin.com/in/sebastian-thrun-59a0b273/" rel="nofollow ugc noopener" target="_blank"> Sebastian Thrun</a>, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO,<a href="https://www.linkedin.com/in/pingwu/" rel="nofollow ugc noopener" target="_blank"> Ping Wu</a>, the co-founder of Google Contact Center AI and Vertex AI platform,<a href="https://www.linkedin.com/in/tianlinshi/" rel="nofollow ugc noopener" target="_blank"> and co-founder, Tim Shi</a>, an early member of Open AI.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

<h3>About the role:</h3>
We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making. You will collaborate with data scientists, engineers, and business stakeholders to solve meaningful problems.
What You'll Do :
<ul>
<li>Collect, clean, and preprocess structured and unstructured data</li>
<li>Perform exploratory data analysis to identify trends and insights</li>
<li>Build and evaluate machine learning models under guidance</li>
<li>Develop data visualizations and dashboards to communicate findings</li>
<li>Assist in deploying models and monitoring their performance</li>
<li>Work with large datasets using tools like Python, SQL, and cloud platforms</li>
<li>Document processes, experiments, and results clearly</li>
<li>Participate in team demos, feedback sessions, and learning opportunities.</li>
<li>This role provides mentorship and exposure to customer-facing technical problem solving in a fast-moving AI/Product environment.</li>
</ul>
<h3>What We're Looking For:</h3>
<ul>
<li>Enrolled in a Bachelor’s or Master’s degree program in Computer Science, Engineering, or a related field.</li>
<li>Experience writing code in Python (or another general-purpose language).</li>
<li>Strong interest in artificial intelligence, machine learning, or software engineering.</li>
<li>Basic understanding of statistics and machine learning concepts</li>
<li>Familiarity with libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch</li>
<li>Experience with SQL and working with databases</li>
<li>Strong analytical and problem-solving skills</li>
<li>Excellent communication skills and willingness to collaborate with teammates and customers.</li>
</ul>
Nice-to-Haves
<ul>
<li>Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)</li>
<li>Familiarity with cloud platforms (AWS, GCP, or Azure)</li>
<li>Knowledge of version control (Git)</li>
<li>Exposure to big data tools (Spark, Hadoop) is a plus</li>
</ul>
This posting will be used to fill a newly-created role.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.com.

Data Science Intern (Customer Success)

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 Associate based in the United States. This is an associate-level analytics role supporting data collection, reporting, and analysis for a government program focused on participant care and placement. You will help transform operational data into meaningful insights, reporting products, dashboards, and briefing materials. The role combines data analysis, visualization, reporting automation, database work, and stakeholder collaboration. You will work alongside domain experts, analysts, contractors, and government stakeholders to improve how program data is collected and understood. Your analysis will help identify performance outcomes, support forecasting, and provide leadership with clear information for decision-making. The position offers exposure to modern analytics tools and technologies, including SQL, Python, R, Tableau, and relational databases. This is a fully remote opportunity with potential future on-site work in Washington, DC, offering meaningful impact within a mission-driven environment. Accountabilities <ul><li>Collaborate with domain experts and data analysts to develop accurate, useful reporting products aligned with program requirements. </li><li>Prototype data products, assess feasibility, and conduct analysis to determine effective approaches to business and program needs. </li><li>Build data connections, develop reports, and publish analytics products across development and production environments. </li><li>Develop automated reporting solutions, dashboards, visualizations, and briefing materials that communicate findings clearly. </li><li>Support data collection, analysis, visualization, data modeling, database creation, and related technical activities. </li><li>Perform statistical and high-level data analysis using appropriate analytics platforms and methodologies. </li><li>Prepare written summaries, presentations, and other briefing products that translate analytical findings into actionable insights for agency leadership. </li><li>Work with contractor and federal stakeholders to improve the collection, quality, and analysis of program data. </li><li>Assist with identifying meaningful performance outcomes, indicators, trends, and measures of program effectiveness. </li><li>Support forecasting, quantitative analysis, and modeling activities as required. </li><li>Help train contractor and field staff on data collection, reporting, and analysis tools and processes. </li><li>Provide ad-hoc reporting and analytical support in response to evolving program needs. </li><li>Create and maintain documentation for data products, reporting processes, analyses, and technical solutions. </li><li>Support data engineering activities involving data cleaning, processing, transformation, and ETL workflows when needed. </li></ul>Requirements <ul><li>Bachelor&#x2019;s degree in data analytics, statistics, computer science, mathematics, or another related field, plus at least 1 year of relevant professional experience. </li><li>Working knowledge of data visualization platforms, particularly Tableau. </li><li>Working knowledge of SQL and relational database concepts. </li><li>Familiarity with scripting and analytical programming languages such as Python and/or R. </li><li>Strong analytical and problem-solving abilities, with exceptional attention to detail. </li><li>Ability to interpret data, identify meaningful patterns, and communicate analytical findings clearly. </li><li>Strong written and verbal communication skills, including the ability to create presentations and explain results to technical and non-technical audiences. </li><li>Ability to collaborate effectively with analysts, subject matter experts, contractors, government stakeholders, and other cross-functional teams. </li><li>Ability to manage multiple priorities while maintaining accuracy and quality in a remote working environment. </li><li>Experience working with immigrants, refugees, or underserved populations is preferred. </li><li>Additional experience in one or more of the following areas is highly valued: statistical analysis and modeling, natural language processing, quantitative or qualitative data analysis, data engineering, large-scale datasets, data cleaning and ETL. </li><li>Familiarity with Palantir, data entry processes, or additional data visualization and analytics tools is a plus. </li><li>An existing Public Trust clearance or the ability to obtain one is required. </li><li>The role is remote, with potential future work at a government facility in Washington, DC. </li></ul>Benefits <ul><li>Salary range: $61,402&#x2013;$80,500, with final compensation determined based on experience, geographic location, and applicable contractual requirements. </li><li>Full-time, 40-hour work week. </li><li>Remote work within the United States. </li><li>Potential future on-site work at a government facility in Washington, DC. </li><li>Less than 10% travel expected. </li><li>Multiple medical plan options, including plans with Health Savings Accounts. </li><li>Dental and vision insurance options. </li><li>401(k) plan with company matching and pre- and post-tax contribution options. </li><li>Flexible work arrangements where applicable. </li><li>Paid vacation, sick, and personal leave. </li><li>10 paid holidays per year. </li><li>Paid parental leave. </li><li>Up to 160 hours of paid family leave during a rolling 12-month period for eligible employees. </li><li>Paid military, bereavement, and jury duty leave. </li><li>Short- and long-term disability benefits. </li><li>Life insurance and accidental death and dismemberment coverage. </li><li>Personal accident and critical illness insurance options. </li><li>Business travel and accident insurance. </li><li>Opportunities for professional growth while working with modern data, analytics, and reporting technologies. </li><li>The opportunity to contribute to a mission-driven government program through data-informed decision-making and operational improvement. </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.

Data Analyst Associate

About the OpportunityThe company is seeking a Data Analyst to join the team and help transform data into actionable insights. This role will involve collaborating with business and product teams to analyze data, identify trends, and create reports that support informed decision-making. This position is suitable for both Junior and Middle-level candidates, with the specific level determined by the candidate&apos;s experience. Key Responsibilities<ul><li>Collect, clean, and analyze data from various sources.</li><li>Prepare reports, dashboards, and data visualizations.</li><li>Identify trends, patterns, and opportunities within business and product data.</li><li>Collaborate with stakeholders to understand their reporting and analytical needs.</li><li>Track key performance indicators (KPIs) and provide regular insights.</li><li>Support data-driven decision-making across the organization.</li><li>Validate data quality and investigate any discrepancies.</li><li>Partner with Product, Engineering, Marketing, and Operations teams.</li><li>Maintain clear documentation of reports, metrics, and analytical processes.</li></ul> Required QualificationsJunior Level<ul><li>1+ year of experience in data analysis, reporting, business intelligence, or a related field.</li><li>Solid understanding of Excel or Google Sheets.</li><li>Foundational knowledge of SQL.</li><li>Familiarity with data visualization and reporting tools.</li><li>Strong analytical and problem-solving abilities.</li><li>Keen attention to detail.</li><li>Capacity to communicate findings effectively.</li><li>Good English communication skills.</li></ul> Middle Level<ul><li>3+ years of experience in data analysis or a comparable role.</li><li>Proficient SQL skills and experience working with databases.</li><li>Advanced Excel or Google Sheets proficiency.</li><li>Experience with BI and visualization tools such as Power BI, Tableau, or Looker.</li><li>Ability to analyze large datasets and translate findings into actionable insights.</li><li>Experience defining and tracking KPIs.</li><li>Strong communication and stakeholder management skills.</li><li>Good English communication skills.</li></ul> Preferred Qualifications<ul><li>Experience with Python or R for data analysis.</li><li>Experience with cloud data platforms.</li><li>Familiarity with product, marketing, or customer analytics.</li><li>Experience working within SaaS or technology companies.</li><li>Knowledge of A/B testing and fundamental statistical concepts.</li><li>Experience working in healthcare or other data-sensitive industries.</li></ul> What the Company Offers<ul><li>Fully remote work arrangement with flexible working hours.</li><li>Opportunity to work with real-world business and product data.</li><li>Collaboration with international and cross-functional teams.</li><li>Opportunities for professional growth and learning.</li><li>A supportive and collaborative work environment.</li><li>Competitive compensation commensurate with experience and skills.</li></ul> Compensation$65,000 - $100,000 per year, based on experience and qualifications. Additional benefits and employment details will be discussed during the hiring process. Location: Remote Seniority Level: Junior / Middle Salary Range: 65,000 - 100,000 USD (gross, annually)

Data Analyst – Junior / Middle

About The Company Innovate with purpose. At BILL, we are dedicated to empowering the businesses that fuel our economy by transforming outdated financial processes through innovative technological solutions. Our mission is to enable businesses&#x2014;from startups to well-established brands&#x2014;to make smarter decisions and gain greater control over their operations. We are committed to creating the future of financial automation, allowing businesses to focus more on what truly matters. Our dynamic team is driven by purpose, curiosity, and a relentless pursuit of excellence, working in a fast-paced environment that encourages innovation and collaboration. With offices in San Jose, CA, Draper, UT, and remote-eligible roles, BILL fosters an inclusive culture where diverse perspectives are valued and every team member can contribute meaningfully to our shared vision. About The Role We are seeking an experienced Risk Data Analyst to join our Risk Portfolio Management team. This critical role involves developing data-driven strategies and insights to strengthen BILL&#x2019;s risk operations and safeguard the integrity of our payment platform. The successful candidate will be responsible for building comprehensive data models, analyzing risk trends, and delivering actionable insights that support the detection and prevention of fraudulent transactions. By doing so, you will play a vital role in protecting BILL&#x2019;s customers while enabling safe and trusted growth. The role requires close collaboration with risk operations leaders and other stakeholders to gather requirements, prioritize analytics initiatives, and manage the analytics roadmap. Your work will directly influence risk management strategies and enhance the overall security and reliability of our platform. Qualifications <ul><li>Bachelor&apos;s degree in Math, Statistics, Economics, or a related technical field</li><li>Minimum of 8 years of experience in analytics and/or data science (or 5+ years with a Master&#x2019;s Degree)</li><li>Extensive experience with SQL pipelines; familiarity with engineering tools such as dbt is a significant plus</li><li>Proficiency in business intelligence tools, especially Tableau, for creating dashboards and reports</li><li>Proven ability to synthesize complex data into clear, actionable insights and compelling data stories</li><li>Experience working with data from fraud and risk platforms such as DataVisor, as well as CRM systems like Salesforce or Zendesk</li><li>Strong collaboration and communication skills to work effectively with risk operations leaders and cross-functional teams</li><li>Authorization to work in the United States without visa sponsorship </li></ul>Responsibilities <ul><li>Consolidate data from multiple source systems into complete, accurate, and consistent risk operation data models</li><li>Create intuitive, automated reports and Tableau dashboards that provide real-time insights</li><li>Synthesize data findings into clear, actionable insights and compelling data stories for leadership and stakeholders</li><li>Develop and maintain strong partnerships with risk operations leaders to understand their needs and priorities</li><li>Gather requirements, prioritize analytics requests, and manage the analytics roadmap for the risk team</li><li>Analyze risk trends and patterns to identify potential vulnerabilities and opportunities for risk mitigation</li><li>Support the development of data-driven strategies to prevent fraud and enhance platform security</li><li>Continuously monitor and improve data models and reporting tools to ensure accuracy and efficiency </li></ul>Benefits <ul><li>100% paid employee health, dental, and vision insurance plans (HMO, PPO, or HDHP options)</li><li>Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA)</li><li>Life insurance and long-term/short-term disability coverage</li><li>Employee Assistance Program (EAP) for personal and professional support</li><li>Paid holidays, wellness days, and flexible time off policies</li><li>Employee Stock Purchase Program with discounts</li><li>Wellness and fitness initiatives to promote a healthy work-life balance</li><li>Recognition and referral programs to celebrate achievements and attract talent</li><li>Access to various professional development resources and a collaborative work environment </li></ul>Equal Opportunity BILL is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe that our differences make us stronger and more innovative. We are dedicated to providing accommodations for applicants with disabilities throughout the hiring process. If you require assistance or accommodations, please contact interviewaccommodations@hq.bill.com. Our commitment is to ensure a fair, transparent, and equitable hiring experience for all candidates.

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