Responsibilities:

• Advanced Data Modeling & Analysis: Lead the development of complex SQL models to transform large datasets into actionable insights, using tools like BigQuery and dbt.

• Strategic Reporting & Visualization: Design and build compelling, user-friendly dashboards (e.g., Looker, Tableau) that facilitate decision-making for business stakeholders. Define KPI frameworks and ensure metrics align with business objectives.

• Exploratory and Strategic Analysis: Drive the design and analysis of business problems through data with statistical rigor to inform operational decisions.

• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.

• Stakeholder Engagement: Collaborate closely with senior stakeholders to understand strategic objectives, recommend analytics solutions, and present insights effectively.

• Data Quality & Governance: Partner with data engineers and cross-functional teams to improve data integrity, governance, and consistency across markets and data sources.
  
  

Qualifications:

• Bachelor’s or advanced degree in Statistics, Mathematics, Economics, Computer Science, or related field.

• 5+ years of experience in data analytics with a strong focus on SQL, data modeling, and data visualization.

• 3+ years of experience with Commercial, Marketing or Logistics datasets and a solid understanding of the business processes driving these functions

• Proficiency with advanced SQL (preferably with BigQuery or similar DWH) and experience in Looker or Tableau. Familiarity with dbt is a plus.

• Solid background in statistical analysis, including A/B testing and data modeling.

• Experience leading or mentoring other analysts, with an ability to foster teamwork and collaboration.

• Strong business acumen with excellent communication and presentation skills.

• Ability to work independently on complex projects and deliver high-impact results in a fast-paced environment.