At a Glance
- Tasks: Analyse subscription metrics and user engagement to drive growth and retention.
- Company: Join a global tech company revolutionising sports content consumption.
- Benefits: Career development, private health insurance, and a hybrid work model.
- Other info: Dynamic environment with opportunities for community involvement and quarterly workshops.
- Why this job: Make a real impact in a fast-growing company while working with data.
- Qualifications: 5+ years in data analysis, advanced SQL skills, and strong problem-solving abilities.
The predicted salary is between 54450 - 66550 £ per year.
Описание
Minute is a global technology and content company focused on the future of sports consumption.
Its proprietary platform enables the creation, distribution, and monetization of digital content experiences for its own content brands, third-party publishers, and advertisers.
The platform also includes STN Video, an online video platform providing access to a sports highlights rights portfolio.
Задачи
- Analyze the subscription funnel from anonymous visitors to paying subscribers to identify drop-off points, conversion bottlenecks, and sign-up opportunities
- Monitor subscription and user engagement metrics through daily, weekly, and monthly dashboards
- Own analysis of metric changes over time
- Perform deep-dive analyses of user retention
- Present user insights, identify valuable users and engagement drivers, and recommend next steps for content and marketing decisions
- Develop and maintain subscriber Lifetime Value models, refining them with new data
- Build and improve churn prediction models using statistical or machine learning techniques
- Calculate LTV and churn using large subscription and engagement datasets while accounting for promotional pricing, seasonality, and content engagement
- Translate model outputs into actionable business recommendations
- Collaborate with Growth and Marketing teams to define success measurement plans
- Work with Product Managers and Engineers to ensure user interaction data is captured and available in the data warehouse
- Advocate for new data collection that improves LTV or churn analysis
- Partner with data and product teams to uncover trends in subscription behavior, content engagement, and feature impact on loyalty
- Communicate insights and recommendations to technical and non-technical audiences
Требования
- 5+ Years of experience in data analysis or data science, focused on user lifecycle, customer analytics, or subscription metrics
- Advanced SQL skills and experience querying and manipulating large datasets in a cloud data warehouse
- Experience building and maintaining data pipelines or intermediate data models
- Experience transforming raw event logs into aggregated, analysis-ready datasets for high-performance reporting
- Experience with BI and data visualization tools, ideally Looker Studio
- Knowledge of cohort analysis, regression, survival analysis, experimentation, and churn prediction
- Strong problem-solving skills and attention to detail
- Ability to validate data integrity, identify anomalies, and accurately calculate metrics such as LTV
- Understanding of experimental design in product or marketing contexts, including success metrics, sample sizes, and statistical significance
- Ability to communicate complex analytical findings clearly and make data-driven recommendations
- Ability to work cross-functionally and manage multiple priorities in a dynamic environment
- B. Sc./B. A. in Statistics, Economics, Business, Computer Science, or a related field, or equivalent practical experience
- Nice to have: Experience in subscription-based digital media or similar industries, experience with Piano, Zuora, Stripe, or Salesforce Marketing Cloud, knowledge of customer segmentation and personalization strategies using CDP tools such as Blue Conic, Python or R programming skills, experience with Google Analytics or Mixpanel, passion for sports and familiarity with Minute’s content
Условия
- Opportunity to make a meaningful impact in a fast-growing company
- Career development opportunities and quarterly skill-based workshops
- Central London-based office
- Cycle to Work scheme
- Hybrid vacation model
- Extended parental leave
- Private health insurance including mental health, dental, and optical cover
- Standard Well Hub access with options to upgrade to premium membership
- Quarterly company events and celebrations focused on DEI
- Community involvement opportunities, both in-person and remote
- #J-18808-Ljbffr
data analyst for subscription products employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
StudySmarter Expert Advice🤫
We think this is how you could land data analyst for subscription products
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Enfint!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like data analyst for subscription products at Enfint.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Enfint.
✨Apply Directly through Our Website
When you find a suitable opening like data analyst for subscription products at Enfint, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace data analyst for subscription products
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Enfint, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Enfint. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Enfint
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Enfint!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
