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Senior Data Analyst (Offshore)

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.

Junior Data Analyst

Key Responsibilities

  • Reporting & Scaling Support: Execute recurring reporting workflows and maintain existing dashboards to support scalable business operations.
  • Data Prep & Extraction: Run data extraction, cleaning, and transformation processes using established, structured templates.
  • Data Quality Assurance: Conduct regular data validation checks and assist with day-to-day campaign and KPI tracking.
  • Collaborative Execution: Support the Senior Analyst on ad-hoc requests, following defined workflows to ensure delivery accuracy.

Role Requirements

  • Technical Foundations: Solid SQL fundamentals and advanced Excel skills for data manipulation and analysis.
  • Tooling Familiarity: Functional, basic knowledge of Databricks and Power BI ecosystems; basic Python is a plus but not mandatory.
  • Core Competencies: Sharp attention to detail, reliability in executing routine tasks, a strong willingness to learn, and clear communication when seeking clarification.