Senior Data Analyst
Responsibilities
Lead Data Exploration & Insight Generation
Drive deep analysis of user behaviour, product performance, and operational trends to uncover key drivers of business outcomes. Proactively identify high-impact opportunities and generate actionable insights that shape product and strategic decisions.
Own Anomaly Detection & Root Cause Analysis
Independently identify anomalies, emerging patterns, and performance shifts across key metrics. Lead root cause investigations and clearly communicate findings to cross-functional stakeholders.
Build Scalable Reporting & Data Infrastructure
Design, develop, and own robust dashboards, reporting frameworks, and automated data pipelines. Ensure data accessibility, consistency, and reliability for stakeholders across the organization.
Strategic Decision Support
Partner closely with product, operations, and leadership teams to translate complex analytical findings into clear, data-driven recommendations. Influence roadmap prioritization and business strategy.
Define & Evolve Core Metrics
Lead the development and refinement of KPIs and success metrics. Ensure alignment with business objectives, and establish measurement frameworks to track performance effectively.
Champion Experimentation & Modeling
Design, execute, and analyze experiments (A/B tests, cohort analysis, impact assessments). Contribute to predictive modeling and advanced analytics initiatives in collaboration with data science teams.
Drive Best Practices & Documentation
Establish and maintain high standards for documentation, reproducibility, and analytical rigor. Promote best practices in data governance, methodology, and reporting.
Mentorship & Continuous Improvement
Support and mentor junior analysts, helping to elevate team capabilities. Continuously expand your own technical and product skillset while driving analytical excellence across the team.
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