PetroApp

Data Engineer

• Define and own PetroApp’s data strategy, roadmap, and operating model.
• Build and scale the company’s data foundation, including ingestion, transformation, modeling, warehousing, and self-service analytics.
• Create a single source of truth for key business and product metrics.
• Partner with Product and Engineering to improve instrumentation, event tracking, experimentation, and measurement.
• Partner with Commercial, Operations, Finance, and Leadership to deliver actionable insights and decision-ready dashboards.
• Design KPI frameworks for areas such as customer growth, retention, transaction performance, service adoption, operational efficiency, fraud/leakage, and profitability.
• Build dashboards, reporting layers, and analytical models that support both day-to-day execution and executive decision-making.
• Establish strong data governance practices, including data quality checks, lineage, documentation, definitions, access controls, and privacy standards.
• Identify and prioritize high-value use cases for advanced analytics, forecasting, anomaly detection, and automation.
• Lead root-cause analysis on business or operational issues and convert findings into measurable actions.
• Hire, mentor, and grow a lean, high-performing data team over time.
• Act as the internal champion for a strong data culture across PetroApp.

Lead Data Engineer