Product Analyst
от 4 000 до 6 000$
Удалённо

About Rafeeq
Rafeeq is a fast-growing on-demand delivery platform operating across food delivery and taxi services. We're building intelligent systems to connect customers, restaurants, and couriers in real-time. Our success depends on making data-driven decisions across product, operations, and ML initiatives.

The Role
We're looking for a Senior Product Analyst to be the analytical backbone of our ML and product teams. You will be the only analyst supporting the entire team initially, which means you'll have broad impact and ownership across multiple problem areas.
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This is a high-leverage role where you'll:
— Define metrics and build dashboards for all our ML systems (ETA, dispatch, surge, incentives)
— Design and analyze experiments to measure feature impact
— Provide data-driven insights to guide product and ML strategy
— Work closely with the ML Team Lead, ML engineers, and Product team

What You'll Do
Metrics & Measurement
— Define Success Metrics: Establish KPIs for ETA accuracy, dispatch efficiency, surge pricing effectiveness, courier incentives, and overall marketplace health
— Build Dashboards: Create real-time monitoring dashboards in our BI tool Looker for key business and ML metrics
— Model Performance: Track ML model performance - accuracy, latency, prediction errors, and business impact
— Marketplace Health: Monitor supply-demand balance, courier utilization, customer wait times, and order cancellation rates

Experimentation & Analysis
— A/B Testing Framework: Design and own the experimentation framework for testing new ML models and product features
— Experiment Analysis: Analyze A/B test results, determine statistical significance, and provide clear recommendations
— Causal Inference: Go beyond correlation to understand causality and treatment effects
— Deep Dives: Conduct ad-hoc analyses to investigate anomalies, understand user behavior, and identify opportunities

Strategic Insights
— Problem Identification: Use data to identify top opportunities for improvement across ETA, dispatch, pricing, and incentives
— Business Reviews: Prepare weekly/monthly reports on key metrics and trends for leadership
— Data Storytelling: Translate complex analyses into clear, actionable insights for technical and non-technical stakeholders
— Roadmap Input: Use data to inform and prioritize product and ML roadmap decisions

Data Infrastructure
— Data Quality: Ensure logging, tracking, and data pipelines are accurate and reliable
— SQL & ETL: Write complex SQL queries to extract, transform, and analyze data from our data warehouse – BigQuery
— Collaboration: Work with Data Engineering to build data marts and improve data infrastructure
— Documentation: Maintain clear documentation of metrics definitions, data models, and analytical methods

What We're Looking For
Required:
— 5+ years of experience as a Product Analyst, Data Analyst, or Data Scientist in a tech company
— Expert SQL skills: You can write complex queries with joins, window functions, CTEs, and optimize for performance
— Statistical rigor: Deep understanding of A/B testing, hypothesis testing, regression analysis, and experimental design
— Data visualization: Proficiency with BI tools (Tableau, Looker, Metabase, Mode, or similar) to build dashboards
— Python: Comfortable with data analysis libraries (Pandas, NumPy, Matplotlib)
— Business acumen: Ability to connect data insights to business impact and strategic decisions


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