Strategic Data Decision Maker

2 weeks ago


Imus, Calabarzon, Philippines beBeeDataDriven Full time $80,000 - $150,000
Drive Business Growth with Data

This is a key role where you will shape strategy, optimize performance, and make a meaningful impact by leveraging data to drive business decisions.

About the Role

You will be at the heart of our decision-making process, using data to uncover opportunities, influence strategy, and solve problems across all areas of the business. You will be a trusted partner to senior leaders, helping them make confident, data-backed decisions.

As a strategic thinker, you will help shape the future of how we collect, manage, and leverage data, ensuring that every insight you deliver has a measurable impact.

Key Responsibilities:
  • Collaborate with Senior Management to develop and maintain reporting solutions across key business functions.
  • Gather and analyse reporting requirements to support strategic initiatives and data-driven decision-making.
  • Support senior leaders 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 centralised 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 visualisations for both technical and non-technical stakeholders.
Requirements:
  • 5+ years of experience as a Data Analyst in corporate, consulting, or startup environments (bonus if you have worked in e-commerce).
  • Critical and strategic thinking skills to synthesise large datasets and communicate solutions clearly.
  • Proficiency in Power BI, SQL, and Google Sheets/Excel.
  • Experience with cloud-based data warehouses such as Google BigQuery, AWS, or Azure.
  • Skilled in data cleansing, integrating multiple datasets, and building reliable, structured data systems.
  • Commercially minded and thrive in fast-paced, high-growth environments.


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