Data Decision Strategist

2 weeks ago

Porac, Philippines beBeeData Full time ₱80,000 - ₱100,000

About the Role

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The Lead Data Analyst position is a key role in our organization, responsible for driving data-informed decision-making across the business.

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This opportunity is ideal for an analytical thinker who can see the bigger picture through numbers and thrive on turning complex data into clear, actionable insights that drive real business change.

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The successful candidate will be at the heart of our decision-making, using data to uncover opportunities, influence strategy, and solve problems across all areas of the business.

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We're looking for someone with strong technical skills, including proficiency in Power BI, SQL, and Google Sheets/Excel, as well as hands-on experience with cloud-based data warehouses such as Google BigQuery, AWS, or Azure.

">Key Responsibilities">
  • ">
  • Collaborate with Senior Management to deliver and maintain reporting across key business functions.">
  • Gather and analyze reporting requirements to support strategic initiatives and data-driven decision-making.">
  • Support Founders with financial budgeting and forecasting models.">
  • Build and maintain data pipelines, including scripts, queries, and ETL flows to ensure data accuracy and integrity.">
  • Design and implement scalable data architecture and processes for collection, cleansing, storage, and transformation.">
  • Lead 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.">
">Requirements">
  • ">
  • 5+ years of experience as a Data Analyst in corporate, consulting, or startup environments.">
  • Critical and strategic thinking skills to cut through complexity and synthesize large datasets.">
  • High proficiency 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.">
  • Commercially minded and thrive in fast-paced, high-growth environments.">
  • Process-driven with clear documentation and training skills to support scalable workflows.">
  • Self-motivated, adaptable, and comfortable taking ownership in a dynamic startup setting.">
">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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