At a Glance
- Tasks: Lead product insights, mentor analysts, and drive data-driven strategies.
- Company: Exciting scale-up fintech reshaping consumer payment experiences.
- Benefits: Competitive salary, bonuses, share options, and growth opportunities.
- Other info: Be part of a fast-growing company with millions of customers.
- Why this job: Join a dynamic team at the forefront of fintech innovation.
- Qualifications: 6+ years in product analytics and strong leadership skills.
The predicted salary is between 90000 - 115000 £ per year.
Salary + Benefits: £90,000 to £115,000 base salary + Bonus and Share options.
The Client: WeDo is partnering with one of the UK’s most exciting scale up fintech businesses. Founded in the late 2010s, the company has grown from early stage start up to multi million customer platform, reshaping how consumers pay and manage their money. Operating at the intersection of debit, credit and rewards, the business combines innovative product thinking with disciplined risk management. With strong backing, ambitious growth plans and a customer base in the millions, they are entering their next phase of product expansion. This hire sits at the centre of that growth journey.
The Role: This is a senior leadership position within Product Analytics, aligned to one of three core product domains. You will manage 5 Product Analysts, while remaining deeply hands on. The split is approximately 40% individual contributor and 60% team leadership. You will partner closely with Product, Growth, Finance and Marketing, ensuring analytics is not simply reporting performance but actively driving commercial strategy.
The Responsibilities:
- Lead the product insights function covering customer behaviour, Churn Rate, Marketing and GTM Analytics.
- Translate complex behavioural and financial data into actionable product recommendations.
- Identify headroom in customer spend and optimise revenue, retention and risk trade offs.
- Design and implement robust experimentation frameworks including A/B testing and post launch impact measurement.
- Define and maintain company level metrics in partnership with Data Platform teams, contributing to a clear single source of truth.
- Evaluate success of major product initiatives.
- Influence senior stakeholders and embed data driven decision making across product and commercial teams.
- Mentor and develop five Product Analysts, setting standards for technical excellence and commercial thinking.
Requirements:
- 6+ years experience in product analytics within a high growth or scale up environment.
- 2+ years experience leading or mentoring analysts.
- Advanced SQL skills and strong Python capability.
- Deep experience in customer segmentation, experimentation design and data modelling.
- Strong commercial acumen with the ability to articulate credit risk trade offs and revenue impact.
- Background in payments, credit, subscription or regulated financial services environments preferred.
- Ability to operate strategically while remaining technically hands on.
- Excellent stakeholder management and communication skills.
Analytics Manager in London employer: WeDo
Join a dynamic and growing Microsoft Partner in the Midlands or South, where your role as an Account Manager will focus on building meaningful, long-term relationships with customers. Enjoy a supportive work culture that values collaboration and invests in employee growth, offering hybrid working options and a competitive salary package that includes a car allowance and commission. This is a unique opportunity to make a significant impact in a company that prioritises customer success and values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager in London
✨Get Involved in Data Science Meetups
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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 Analytics Manager at WeDo.
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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 WeDo.
✨Apply Directly through Our Website
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We think you need these skills to ace Analytics Manager in London
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 WeDo, 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 WeDo. 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 WeDo
✨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 WeDo!
✨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.
