Lead Business Intelligence Analyst

20 hours ago


Las Piñas, National Capital Region, Philippines beBeeDataDriven Full time $100,000 - $135,000
Drive Data-Driven Decision Making as a Lead Data Analyst

This is a full-time opportunity to propel business success through informed decision-making. We are seeking a skilled Lead Data Analyst to shape strategy, optimize performance, and make a meaningful impact.

In this role, you'll be at the heart of our data-driven approach, using insights to uncover opportunities, influence strategy, and solve problems across all areas of the business. You'll help shape the future of how we collect, manage, and leverage data, ensuring that every insight delivered has a measurable impact.

About the Role
  • Collaborate with Senior Management to deliver and maintain reporting across key business functions (Customer Experience, Marketing, Sales, Product, Logistics, Finance, etc.). Gather and analyze reporting requirements to support strategic initiatives and data-driven decision-making.
  • Spearhead the development and maintenance of a centralized data warehouse aligned with evolving business needs.

Deliver timely, accurate ad-hoc reports and insights to support operational and strategic goals. Present analytical findings through clear reports, presentations, and visualizations for both technical and non-technical stakeholders. Ensure reporting solutions drive sustainable business growth and enhance customer experience.

Requirements
  • 5+ years of experience as a Data Analyst in corporate, consulting, or startup environments.
  • Critical and strategic thinker, able to cut through complexity, synthesize large datasets, and communicate solutions clearly.
  • Highly proficient in Power BI, SQL (complex queries, database setup & mapping), and Google Sheets/Excel (advanced reporting).
  • Hands-on experience with cloud-based data warehouses such as Google BigQuery, AWS, or Azure.
Bonus Skills
  • Experience with Shopify, Google Analytics, Facebook data, and ERPs.
  • Knowledge of REST APIs (GET, PUT, POST requests).
  • Experience with Python or R for data analysis.
  • Familiarity with visualization tools (Google Data Studio, Tableau, Qlik).
  • Experience with ETL tools (Talend, Stitch, MS SQL SSIS).


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