Senior Manager for Payments Data Analytics at FIS analyzing revenue opportunities and presenting insights. Collaborating with technology and data teams to enhance financial services.
About the role
- Embedded Finance Data Analyst transforming raw data into actionable insights to support growth, product development, and operational effectiveness at Sprout Solutions.
Responsibilities
- Analyze client usage patterns, portfolio performance, and adoption metrics to identify opportunities for growth across embedded finance products.
- Provide data-driven insights to support client segmentation, targeting, and prioritization for upsell, expansion, and product-led growth initiatives.
- Support Business and Growth teams with dashboards and reports that highlight client health, financial performance, revenue impact, and behavior trends.
- Evaluate the impact of campaigns, engagement initiatives, and employer-level performance to inform strategy and decision-making.
- Collaborate with UXR to interpret existing product and user data, helping identify user problems, market gaps, and opportunity areas.
- Support Product Managers in evaluating new product concepts through industry research, competitive benchmarking, and data-driven business projections.
- Monitor and analyze key product metrics, including conversion funnels, adoption, penetration, and engagement, to uncover insights that inform feature improvements and user experience enhancements.
- Evaluate the performance of newly released features, PLG initiatives, and experiments by conducting structured post-launch impact analyses and recommending next steps.
- Present clear, data-backed insights that guide product direction, highlight risks or opportunities, and influence strategic decision-making across the product lifecycle.
- Monitor key operational metrics such as revenue, repayment behavior, aging transactions (e.g., 30+ /60+ /90+ DPD), borrower activity, and disbursement success rates.
- Support escalation handling by investigating transaction anomalies, reconciliation issues, SOA discrepancies, and deactivation-related concerns through data analysis.
- Maintain and execute recurring reports, including weekly balances, non-repayment monitoring, and due date compliance.
- Develop dashboards and automated monitoring tools to enhance visibility for Customer Advocates, Success Consultants, Fintech Operations, and partner banks.
- Identify manual or error-prone workflows and support Product and Engineering teams in designing and validating automation for operational scale.
Requirements
- 3–5+ years of experience in data analytics with required experience in fintech, ideally in lending, embedded finance, payments, or financial operations.
- Strong SQL skills and experience working with data platforms (e.g., Databricks)
- Experience building dashboards using Power BI, Databricks, and HubSpot.
- Knowledge of developing data models for reports and analysis.
- Python skills is a plus.
- Working knowledge of financial products and embedded finance workflows, including money movement, risk controls, and repayment processes etc.
- Experience with Credit Risk.
- Excellent problem-solving, investigative, and analytical thinking.
- Ability to translate complex data into simple, actionable insights for non-technical teams.
- Strong communication skills and high attention to detail.
Benefits
- Equal Opportunity Employment • Welcomes applications from all sectors of society
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