{"id":114964,"url":"https://alion.io/job/minutemedia-senior-data-analyst","title":"Senior Data Analyst","company":{"id":13779,"name":"Minutemedia","domain":"minutemedia.com","url":"https://alion.io/company/minutemedia","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":128000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":39},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-20T01:17:57Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-09-30T12:28:04Z","board_verified":true,"closed_at":null,"days_open":42,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":42},"description":"Description\nMinute Media is a global technology and content company built for the future of sports consumption. Minute Media’s proprietary technology platform enables the creation, distribution, and monetization of digital content experiences, powering Minute Media’s portfolio of trusted content brands, including Sports Illustrated, The Players’ Tribune, and FanSided, as well as third-party publishers and advertisers. The technology platform also includes STN Video, an online video platform (OVP) that provides access to a robust sports highlights rights portfolio. Minute Media is building the future of how the world connects with sport, powered by innovation, shared globally, and trusted by millions of fans and the partners we serve. For more information, visit www.minutemedia.com.\nWe are looking for a data-drivenData Analyst specializing in LTV (Lifetime Value) & Subscriptions to join our London team. You will support all analytics related to our subscription products and user lifecycle. In this role, you will dive deep into subscriber behavior and churn patterns, develop models to project customer lifetime value, and help drive strategies to improve retention. You’ll work closely with our Growth, Product, and Editorial teams to ensure data-driven decision-making in areas like paywall optimization, subscriber engagement, and content strategy for member audiences. This is a mid-level, full-time, hybrid on-site role ideal for someone passionate about using data to fuel audience growth and loyalty.\nWhat You’ll Do\nSubscription Funnel & User Insights\nAnalyze the subscription funnel end to end, tracking users from anonymous visitors to registered users and paying subscribers in order to identify drop-off points, conversion bottlenecks, and opportunities to improve sign-up rates.\nMonitor key subscription and user engagement metrics through daily, weekly, and monthly dashboards, and own analysis of metric changes over time.\nPerform deep-dive analyses on user retention.\nPresent user insights to stakeholders by clearly identifying our most valuable users and what drives their engagement, and go beyond reporting by recommending concrete next steps to inform content and marketing decisions.\nLTV & Churn Modeling\nDevelop and maintain subscriber Lifetime Value (LTV) models, continuously refining them by incorporating new data to improve accuracy.\nBuild and improve churn prediction models to proactively identify at-risk subscribers, using statistical or machine learning techniques as needed.\nWork with large subscription and engagement datasets to calculate LTV and churn while accounting for promotional pricing, seasonality, and content engagement.\nTranslate model outputs into clear, actionable business recommendations.\nCross-Functional Collaboration\nCollaborate with Growth and Marketing teams to define success measurement plans for initiatives.\nWork closely with Product Managers and Engineers to ensure user interaction data is accurately captured and available in the data warehouse, and advocate for new data collection where it would improve LTV or churn analysis.\nPartner with data and product teams to uncover trends in subscription behavior, including content engagement and the impact of new features on loyalty.\nCommunicate insights and recommendations clearly to both technical and non-technical audiences, tailoring depth and format to drive understanding and action.\nRequirements\nWhat You Have\nYou have 5+ years of experience in data analysis or data science, with a focus on user lifecycle, customer analytics, or subscription metrics.\nYou bring advanced SQL skills and are comfortable querying and manipulating large datasets in a cloud data warehouse environment.\nYou have experience building and maintaining data pipelines or intermediate data models, transforming raw event logs into aggregated, analysis-ready datasets for high-performance reporting.\nYou have worked with BI and data visualization tools, ideally Looker Studio, to build dashboards and reports that track KPIs over time.\nYou are familiar with statistical analysis and predictive modeling concepts such as cohort analysis, regression, survival analysis, experimentation, and churn prediction, even if you are not a dedicated data scientist.\nYou demonstrate strong problem-solving skills and attention to detail, with the ability to validate data integrity, spot anomalies, and ensure accurate calculation of metrics like LTV.\nYou understand experimental design in product or marketing contexts, including defining success metrics, determining sample sizes, and evaluating statistical significance.\nYou communicate complex analytical findings clearly and make data-driven recommendations.\nYou work effectively across functions and manage multiple priorities in a dynamic environment.\nYou hold a B.Sc./B.A. in Statistics, Economics, Business, Computer Science, or a related field, or equivalent practical experience.\nAdvantageous\nPrevious experience in subscription-based digital media or a similar industry (e.g., streaming services, membership products) where you’ve worked on subscriber analytics.\nHands-on experience with subscription management or CRM platforms (such as Piano, Zuora, Stripe, or Salesforce Marketing Cloud) - understanding their data structures and how to extract meaningful insights from them.\nKnowledge of customer segmentation and personalization strategies, possibly using CDP (Customer Data Platform) tools like BlueConic.\nProgramming skills in Python or R for advanced data analysis or to implement custom predictive models beyond basic SQL (e.g., using libraries for churn modeling or LTV projections).\nExperience analyzing web/app user behavior using tools like Google Analytics or Mixpanel, especially if related to funnel analysis or retention tracking.\nA passion for sports and familiarity with Minute Media’s content - understanding our audience’s interests can help in crafting more relevant insights.\nWhat You’ll Get\nOpportunity to make a meaningful impact in a fast-growing company.\nCareer development opportunities & different skill-based workshops offered each quarter.\nCentral London based office.\nHybrid work model.\nCycle to Work scheme.\nHybrid vacation model.\nExtended parental leave.\nPrivate Health Insurance including mental health, dental and optical cover.\nStandard access to WellHub with options to upgrade to premium membership.\nFun company events and celebrations with a focus on DEI each quarter.\nCommunity involvement opportunities, both in-person and remote.\nMinute Media is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\nNot sure that you're 100% qualified but are up for the challenge? We want you to apply!","description_format":"text","description_chars":6976,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Company events","Health insurance","Hybrid work","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sports","Sports Media","Publishing","Content Creation"],"lifecycle":[{"event":"open","at":"2026-08-20T01:17:57Z"}],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.575,"p_room":0.45,"age_days":41,"expected_fill_days":23,"reasons":["conf:11","win:tail"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/minutemedia-senior-data-analyst","json_url":"https://alion.io/job/minutemedia-senior-data-analyst.json","meta":{"generated_at":"2026-10-01T04:11:14Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3383,"day_limit":5000,"remaining_today":1617,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}