Product Analyst-MAM

Job Description

The Member Accession Marketing team at Tide includes a Product team specialising in building and optimising Tide s member onboarding journeys, as well as owning additional products. About the role Some of the things you ll be doing: Product Analysis & Optimisation: Conduct hypothesis-driven deep dives into existing product data to identify user pain points, quantify the size of the problem, and propose actionable solutions. Product Discovery & Opportunity Sourcing: Lead hypothesis-driven exploration, working with product and business teams to help uncover new product opportunities and validate them through data analysis. Product Experimentation: Lead product experimentation efforts, helping design and analyse tests to build confidence in the features we invest in. You ll be the go-to expert for product experiments, ensuring they provide meaningful data to guide decision-making. Product and Feature Performance Review: Collaborate with product teams to establish and measure KPIs that reflect the impact of new features. Your analyses will ensure that product developments solve real user problems and drive increased adoption. Goals to KPI Translations: Work with product managers to translate conversion and revenue goals into business KPIs, identifying the impact hypotheses that will drive product success. You ll also collaborate with Analytics Engineers to enable seamless KPI reporting through intuitive dashboards. WHAT WE ARE LOOKING FOR: Have 5+ years of experience in Product Analytics, preferably within digital or Fintech products Experience in onboarding and acquisition combined with experience in revenue optimisation would be highly preferable Strong SQL/Python proficiency Strong understanding of the product lifecycle, from ideation to execution and continuous iteration, including a strong hold on product experimentation Familiarity with key product metrics such as LTV, CAC, conversion rates, churn, and retention and ability to think critically about how onboarding and acquisition strategies contribute to overall business growth Experience capturing stakeholder requirements across various levels of seniority and functions and building appropriate analytical solutions Comfortable in leading and solving vague and ambiguous problems with minimal guidance Good communication and presentation skills and skilled in translating complex data analysis into insights presentable to business users You re a self-starter and can operate with a high degree of independence You have a strong ownership mindset, you take initiative in spotting opportunities and finding ways to solve challenges with data; you don t wait for things to be told to you You form relationships within the business in order to help with the adoption of data driven decision making