Data Analyst
Role details
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Tech stack
Job description
Job Description SENIOR DATA GOVERNANCE ANALYST LONDON/HYBRID UP TO £60,000 We are partnering with a global firm that operates in many countries and uses data to support decision making ROLES AND RESPONSIBILITIES: The Senior Data Governance Analyst will: Support the..., A leading global media company is looking for a Data Analyst specializing in LTV and subscriptions to join their London team. The role involves analyzing subscriber behavior and churn patterns, developing LTV models, and collaborating with various teams to inform..., Strategic Data Analyst We are looking for a dedicated Data Analyst to join our team. You will be responsible for interpreting complex datasets to provide actionable insights that drive business decisions. Key duties include developing analytical reports, cleaning data, and..., Technical Systems Analyst (Risk & ESG)?? London | 6-month contract | Competitive daily rate via umbrella Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and...
Requirements
recommendations. Cross-Functional CollaborationCollaborate with Growth and Marketing teams to define success measurement plans for initiatives. Work 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. Partner with data and product teams to uncover trends in subscription behavior, including content engagement and the impact of new features on loyalty. Communicate insights and recommendations clearly to both technical and non-technical audiences, tailoring depth and format to drive understanding and action. RequirementsWhat You HaveYou have 5+ years of experience in data analysis or data science, with a focus on user lifecycle, customer analytics, or subscription metrics. You bring advanced SQL skills and are comfortable querying and manipulating large datasets in a cloud data warehouse environment. You have experience building and maintaining data pipelines or intermediate data models, transforming raw event logs into aggregated, analysis-ready datasets for high-performance reporting. You have worked with BI and data visualization tools, ideally Looker Studio, to build dashboards and reports that track KPIs over time. You 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. You 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. You understand experimental design in product or marketing contexts, including defining success metrics, determining sample sizes, and evaluating statistical significance. You communicate complex analytical findings clearly and make data-driven recommendations. You work effectively across functions and manage multiple priorities in a dynamic environment. You hold a B.Sc./B.A. in Statistics, Economics, Business, Computer Science, or a related field, or equivalent practical experience. AdvantageousPrevious experience in subscription-based digital media or a similar industry (e.g., streaming services, membership products) where you've worked on subscriber analytics. Hands-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. Knowledge of customer segmentation and personalization strategies, possibly using CDP (Customer Data Platform) tools like BlueConic. Programming 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). Experience analyzing web/app user behavior using tools like Google Analytics or Mixpanel, especially if related to funnel analysis or retention tracking. A passion for sports and familiarity with Minute Media's content - understanding our audience's interests can help in crafting more relevant insights. What You'll GetOpportunity to make a meaningful impact in a fast-growing company. Career development opportunities & different skill-based workshops offered each quarter. Central London based office. Hybrid work model. Cycle to Work scheme. Hybrid vacation model. Extended parental leave. Private Health Insurance including mental health, dental and optical cover. Standard access to WellHub with options to upgrade to premium membership. Fun company events and celebrations with a focus on DEI each quarter. Community involvement opportunities, both in-person and remote. Minute Media is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. All, Job Description - Have you had a career break of 12+ months? - Do you have 5+ years of commercial experience, including hands-on experience in Data, Analytics, or related technology roles? - Are you ready to re-join the workforce with structured training, support and..., Have you had a career break of 12+ months? - Do you have 5+ years of commercial experience, including hands-on experience in Data, Analytics, or related technology roles? - Are you ready to re-join the workforce with structured training, support and career coaching...
Benefits & conditions
Job Description Technical Systems Analyst (Risk & ESG)?? London | 6-month contract | Competitive daily rate via umbrella Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We...
Senior Data Analyst
Edison Hill Search £50,000 - £60,000
Series A eCommerce & Fintech Startup | Hybrid Working (2/3 Days a week in Kentish Town) The Problem Buying fashion online should be simple. But it rarely is. Customers often order multiple sizes, return half their basket, wait for refunds, and repeat the process again...