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

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.

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

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