Who We're Looking For - The Dream Maker
We’re looking for a hands-on Senior BI Analyst to own Chargeflow’s BI layer end to end-turning business questions into trusted metrics, decision-ready dashboards, and proactive monitoring that helps teams move faster with confidence in the numbers.
You’ll work across Product, Finance, Operations, and Leadership to define how the company measures performance and ensure that teams rely on consistent, accurate data rather than one-off reports or conflicting spreadsheets.
This role is for someone who goes beyond building dashboards: you’ll establish the definitions, models, quality standards, and reusable BI assets that make reliable self-service analytics possible at scale.
About Chargeflow
Chargeflow is a leading force in fintech innovation, tackling chargeback fraud and the impact it has on online businesses. Born from a deep passion for technology and eCommerce, we’ve developed an AI-driven solution that helps merchants manage credit card disputes, recover lost revenue, and protect their businesses through a unique success-based model.
Backed by $49M from Viola Growth, OpenView, Sequoia Capital, and other top-tier global investors, Chargeflow is on a product-led growth journey. We’re a tight-knit team of passionate builders and entrepreneurs, united by our mission to revolutionize eCommerce and protect online businesses from chargeback fraud.
What You’ll Own
Own the company’s BI layer end to end, from translating business questions into metric specifications to delivering trusted dashboards and certified datasets.
Define, standardize, and document company KPIs, including their logic, grain, filters, ownership, and edge cases.
Build and maintain accurate, performant dashboards that surface trends, risks, opportunities, and root-cause signals—not just charts.
Design and maintain a semantic and metrics layer with consistent entities, dimensions, datasets, and business definitions.
Create a reliable foundation for self-service analytics and LLM-powered exploration of company data.
Implement data-quality checks, anomaly detection, testing, and alerts to identify issues before they affect business decisions.
Investigate discrepancies between reports and source systems, identify root causes, and drive issues through resolution.
Maintain a clear KPI glossary and metrics dictionary, with structured change management and communication.
Establish and manage a BI intake and prioritization process, communicating tradeoffs, dependencies, and timelines clearly.
Partner closely with Product, Finance, Operations, and Leadership to understand their goals and translate them into scalable BI solutions.
Reduce reliance on one-off data pulls by building reusable, certified assets that make future requests faster and more consistent.