Senior Lead Product Analyst - Pricing

Summary

Join Cleo, a fast-growing fintech unicorn, as a Product Analyst in the Growth pillar. You will work with a cross-functional team to leverage user data and analytical techniques to improve key metrics like conversion, ARPU, and LTV. Responsibilities include conducting deep-dive analyses, influencing team roadmaps, defining success metrics, conducting A/B tests, building predictive models, and collaborating with Analytics Engineering. This role requires 5+ years of quantitative analysis experience in a digital product environment, strong communication skills, experience with A/B testing and pricing experiments, and proficiency in Python and SQL. Cleo offers a competitive compensation package, flexible work arrangements, and various benefits including paid time off, pension, medical insurance, parental leave, and professional development opportunities.

Requirements

• 5+ years of experience doing quantitative analysis within a cross functional digital product environment
• A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner
• Experience conducting large scale A/B experiments and interpreting results to drive product and business decisions
• Proven experience with designing and analysing pricing experiments, such as A/B tests for subscription tiers, discount effectiveness, or value-based packaging strategies
• Ability to define new product metrics from complex, unstructured data
• Fluency with commercial data and key concepts around user value and profitability
• Fluency in Python and its application in data analysis
• Knowledge of statistics (e.g. hypothesis testing, regressions)
• Excellent SQL skills
• Experience with data visualisation tools such as Tableau, Superset, Looker, Mode

Responsibilities

• Conduct deep-dive analysis into subscription tiers, pricing tests, discount strategies, and packaging choices, using profit and loss metrics to understand user behaviour and investigate opportunities to increase conversion, drive upsell, and optimise LTV across different customer segments
• Influence the roadmap of your team through presentation of data-based recommendations
• Define how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters, delving into the leading indicators of user behaviour
• Conduct regular A/B tests and causal analyses to determine the impact of product changes on success metrics
• Build models of price sensitivity, bundling effectiveness, user-segmentation, and customer lifetime value, tailored to support tiered offerings and optimise monetisation strategies
• Work with Analytics Engineering to prioritise data modelling needs in your area as well as directly contributing to our transformed data codebase

Preferred Qualifications

Experience with data modelling/dbt is a nice-to-have, but not essential

Benefits

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles
• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures
• A clear progression plan
• Flexibility
• Work where you work best
• Company-wide performance reviews every 6 months
• Generous pay increases for high-performing team members
• Equity top-ups for team members getting promoted
• 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days)
• 6% employer-matched pension in the UK
• Private Medical Insurance via Vitality, dental cover, and life assurance
• Enhanced parental leave
• 1 month paid sabbatical after 4 years at Cleo
• Regular socials and activities, online and in-person
• We'll pay for your OpenAI subscription
• Online mental health support via Spill
• Workplace Nursery Scheme