At a Glance
- Tasks: Lead product insights and drive commercial strategy through data analysis.
- Company: Dynamic fintech company in London with a focus on innovation.
- Benefits: Competitive salary, annual bonus, share options, and flexible work arrangements.
- Other info: Join a fast-paced environment with opportunities for professional growth.
- Why this job: Make a real impact by shaping product strategies and mentoring a talented team.
- Qualifications: 6+ years in product analytics and strong leadership skills required.
The predicted salary is between 90000 - 115000 £ per year.
Salary + Benefits: £90,000 to £115,000 base salary, Up to 30% annual bonus, Up to 30% share options
Location: London, 3 days per week onsite
The Role
This is a senior leadership position within Product Analytics, aligned to one of two core product domains. You will manage 2 Product Analysts, while remaining deeply hands on. The split is approximately 60% individual contributor and 40% team leadership. You will partner closely with Product, Credit Risk, Finance and Marketing, ensuring analytics is not simply reporting performance but actively driving commercial strategy.
The Responsibilities
- Lead the product insights function covering customer spend behaviour, issuing, acquiring and repayment management
- 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 two 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
Lead Product Analyst employer: Sivara GmbH
As a Lead Product Analyst at our London office, you will thrive in a dynamic and collaborative work culture that prioritises innovation and professional growth. With competitive salaries, substantial bonuses, and share options, we invest in our employees' futures while fostering an environment where mentorship and hands-on leadership are key to driving impactful product strategies. Join us to be part of a forward-thinking team that values data-driven decision-making and empowers you to make a real difference in the financial services landscape.
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We think this is how you could land Lead Product Analyst
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We think you need these skills to ace Lead Product Analyst
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!
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Craft a Tailored Cover Letter:For a full-time role at Sivara GmbH, 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.
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How to prepare for a job interview at Sivara GmbH
✨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!
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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
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✨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.
