Job Overview
About the Role:
We’re looking for an Analytics & Reporting Lead to drive performance insights and reporting strategy in a high-growth fintech environment. This is not a templated dashboard role — we need someone who can connect data to financial mechanisms, challenge assumptions, and provide clarity in the face of complex, high-velocity transactional data. You’ll work closely with product, credit risk, growth, and finance to deliver real-time insights that directly influence underwriting models, unit economics, and revenue expansion.
Key Responsibilities:
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Design and lead the analytics architecture for credit, payments, and product performance metrics — from ingestion through to self-serve reporting and executive dashboards.
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Develop reporting frameworks for investor updates, regulatory submissions (e.g., FCA, MAS), and board-level financial transparency.
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Build and maintain a single source of truth for customer LTV, CAC payback, NPL ratios, churn, and conversion funnels across multiple business lines.
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Collaborate with engineering to ensure data pipeline integrity, latency thresholds, and versioning for metrics that feed into underwriting decisions and automated interventions.
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Design anomaly detection systems to flag outliers in real-time for operational metrics such as failed payments, transaction declines, or suspicious velocity.
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Enable experimentation frameworks (A/B and multivariate) for growth and product teams — and ensure outcomes are rigorously measured against lagged performance indicators, not just top-of-funnel metrics.
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Lead a small team of analysts and support the evolution toward scalable data products and embedded analytics.
Must-Have Qualifications:
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5+ years in analytics, with at least 2 years in fintech (lending, payments, BNPL, wealthtech, or neobank experience preferred).
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Deep understanding of key fintech metrics: cohort-based LTV, risk-adjusted return, credit utilization, default probability, and transaction velocity.
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Advanced SQL and at least one scripting language (Python or R); experience with dbt or similar data transformation tools is a plus.
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Proven experience building reporting layers over raw financial event data (ledger systems, Stripe, Marqeta, etc.).
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Familiarity with regulatory reporting standards in fintech, especially for credit products.
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Experience working with modern BI tools (Looker, Metabase, Mode, or similar) — not just building dashboards, but enabling others to self-serve responsibly.
Preferred Qualifications:
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Exposure to statistical modeling, especially for risk segmentation or churn prediction.
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Experience supporting product teams with in-app analytics, including event instrumentation and conversion analysis.
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Comfort operating in environments with messy, incomplete, or ambiguous data — and the ability to turn that into clean, high-leverage reporting outputs.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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