Data Insight Leader

2 days ago

General Santos, Soccsksargen, Philippines beBeeDataInsight Full time ₱800,000 - ₱1,000,000

Miss Amara is seeking a skilled Data Insight Leader to drive data-informed decision-making across the business. This opportunity will have you shaping strategy, optimizing performance, and making a meaningful impact.

About the Role
  • You'll be at the heart of our decision-making, using data to uncover opportunities, influence strategy, and solve problems across all areas of the business.
  • You'll be a trusted partner to senior leaders, helping them make confident, data-backed decisions.
Key Responsibilities
  1. Collaborate with Senior Management to deliver and maintain reporting across key business functions.
  2. Gather and analyze reporting requirements to support strategic initiatives and data-driven decision-making.
  3. Support financial planning and forecasting models.
  4. Build and maintain data pipelines, including scripts, queries, and ETL flows to ensure data accuracy and integrity.
  5. Design and implement scalable data architecture and processes for collection, cleansing, storage, and transformation.
  6. Lead the development and maintenance of a centralized data warehouse aligned with evolving business needs.
  7. Deliver timely, accurate ad-hoc reports and insights to support operational and strategic goals.
  8. 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, able to cut through complexity, synthesize large datasets, and communicate solutions clearly.
  • 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.
  • Skilled in data cleansing, integrating multiple datasets, and building reliable, structured data systems.

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