Senior Data Analyst
Key Responsibilities
- Strategic Insights & Deep Dives: Lead advanced analytics and regional deep-dives across SEAA markets to deliver executive-ready storytelling and data-driven recommendations.
- KPI Framework & Alignment: Design, define, and align business metrics and KPI frameworks across multiple regions and stakeholders.
- Dashboarding & Optimization: Build and optimize sophisticated, scalable Power BI dashboards that translate complex business questions into clear visual answers.
- Data Governance & Quality: Oversee data validation, reconciliation, and quality control across large, multi-source datasets.
- Stakeholder Engagement: Actively manage stakeholder expectations, challenge business requirements when necessary, and prioritize competing market demands.
Role Requirements
- Technical Proficiency: Advanced Databricks, expert SQL, and strong Python skills for handling large-scale data processing.
- Data Architecture: Advanced Power BI capabilities (including complex DAX and data modeling) alongside robust data modeling principles.
- Experience & Impact: Proven track record in flexible analytics delivery across global/regional markets and a history of building metrics from scratch.
- Core Competencies: Exceptional structured problem-solving, decisive prioritization, strong communication skills, and a high degree of professional ownership.