Business Analytics Lead (7-10 years)

Who You Are!

• You are a first-principles thinker who leads by example. You are passionate about translating complex data into actionable narratives and empowering your team to do the same. 
• If you possess a natural curiosity and a drive to challenge the status quo to achieve better outcomes, you will thrive here.

The gig

As an analytics leader, you won't just provide data—you will actively shape the strategy of our financial services business.

• Lead and mentor a team of analysts to drive business outcomes and growth, using high-fidelity data to inform sustainable decision-making across our product ecosystem.
• Own the end-to-end analytics function—designing the right team structure, hiring top talent, building capabilities, and setting an uncompromisingly high bar for problem-solving.
• Partner closely with business and product leaders, acting as a translator who turns complex business challenges into clear, solvable analytical problem statements.
• Empower your team to generate holistic, unbiased analyses that directly influence product roadmaps and business strategy.
• Champion a data-driven culture across various functions, effectively influencing stakeholders and driving cross-functional initiatives.
• Act as a core strategic partner within your pod, going far beyond a traditional analytics counterpart to actively co-create the business roadmap.

Job Requirements

• 7+ years of relevant analytics experience, including a minimum of 2 years in a Product Analytics role, plus proven experience directly managing and developing a team.
• Deep proficiency handling large-scale data and running complex analyses using SQL. You possess the data modeling skills necessary to understand data flows and manage ETL processes at scale.
• A natural curiosity for how products work under the hood, paired with a strong penchant for business strategy and commercial outcomes.
• Highly analytical with the ability to consistently apply the right frameworks and methodologies to solve ambiguous problems.
• A solid understanding of dashboarding principles with hands-on experience building actionable dashboards (prior experience with QlikSense is a plus).
• Background in FinTech, payments, or financial services. Statistical modeling experience using Python or R is also a great-to-have.