Business Intelligence Analyst
Core
Design and maintain dashboards, monitoring tools, and analytical solutions to measure product performance, support data-driven decisions, and detect suspicious patterns in user activity.
Role type
Business Intelligence Analyst (Product Analytics & Fraud Detection)
Builds
Power BI dashboards, data models, DAX measures, and analytical reports for product and fraud teams.
Domain
Fintech / Financial Services
Deliverable
dashboards & analysis
Required skills
Power BI (ETL, DAX, M, data modeling), SQL, product metrics (DAU/MAU, retention, funnels, LTV, CAC), fraud pattern recognition, stakeholder communication
Preferred skills
Python or R for ad-hoc analysis, behavioral analytics, anomaly detection, basic ML concepts
Technologies
Power BI, SQL, DAX, M language
Responsibilities
Build and maintain Power BI dashboards, data models, and DAX measures; Track product KPIs including acquisition, activation, retention, engagement, conversion, churn, LTV, and revenue; Perform ad-hoc analysis to support product launches, A/B tests, feature adoption, and user funnel optimization; Conduct cohort, funnel, retention, and segmentation analysis; Help investigate fraud and abuse cases by spotting suspicious patterns and anomalies in user behaviour; Work with data engineers to ensure data accuracy and organization; Spot inefficiencies in processes and suggest improvements
Seniority
Mid-level, hands-on IC
