Job Overview
Role Overview
We are looking for a Business Analysis & Reporting Specialist with a strong command of fintech ecosystems, data-driven decision-making, and operational insight. This role will drive the creation of actionable intelligence across product, risk, and customer operations, supporting fast-paced, high-growth initiatives across the business.
Key Responsibilities
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Translate financial, product, and operational data into structured business reports that support strategic decisions in areas such as underwriting performance, customer lifecycle, fraud detection, and revenue optimization.
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Develop and maintain dashboards, recurring reports, and ad-hoc analyses focused on unit economics, CAC/LTV trends, product conversion, churn analysis, and market penetration by segment.
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Collaborate with product managers and growth leads to quantify the impact of A/B tests, pricing experiments, or new feature rollouts.
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Provide analytics support to credit, fraud, and risk teams through early warning indicator tracking, loss forecasting, and segmentation modeling input.
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Act as the analytics lead for quarterly board reporting: build financial models, extract insights from cohort-level behavior, and visualize KPIs for executive leadership.
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Automate data pipelines and reporting frameworks where appropriate to increase consistency and reduce manual overhead.
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Interpret regulatory reporting requirements for digital financial services and ensure internal metrics support audit-ready compliance.
Required Skills & Experience
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3–5 years of hands-on analytics experience in a fintech company, financial institution, or data-driven startup. Experience in digital lending, neobanking, or embedded finance preferred.
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Strong SQL proficiency; able to independently extract and manipulate large datasets from relational and cloud-based databases (e.g., Snowflake, BigQuery).
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Advanced Excel and strong working knowledge of BI tools (e.g., Looker, Tableau, Power BI); exposure to dbt or data modeling frameworks a plus.
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Proven experience building complex business models, ideally around LTV/CAC, retention cohorts, interest margin analysis, or collections performance.
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Familiarity with financial statements and key fintech metrics (NIM, ARR, NPA, ROE, etc.).
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Ability to work cross-functionally with product, operations, risk, and finance stakeholders in a fast-paced environment with shifting priorities.
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Clear communication skills: able to explain technical findings to non-technical audiences and translate business questions into analytical queries.
Preferred Qualifications
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Bachelor’s degree in Finance, Economics, Data Science, Business Analytics, or related field; a Master’s degree or relevant certifications (e.g., CFA, FRM, Analytics Bootcamp) is a plus.
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Exposure to scripting languages such as Python or R for deeper statistical analysis.
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Experience working with API data sources or financial aggregation platforms.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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