Senior Data Insight Manager

1 day ago

San Juan, National Capital Region, Philippines beBeeBusiness Full time $90,000 - $120,000
Lead Business Intelligence Specialist

We are seeking an experienced Lead Business Intelligence Specialist to drive our data-driven decision-making process. The ideal candidate will possess strong analytical and strategic skills, with the ability to communicate complex ideas effectively.


About the Role

This role is critical in supporting Senior Management in delivering and maintaining reporting across key business functions. You will work closely with Founders to develop financial budgeting and forecasting models, leveraging your expertise in data analysis and interpretation.


Key Responsibilities
  • Data Analysis and Insights: Gather and analyze reporting requirements to support strategic initiatives and data-driven decision-making.
  • Data Engineering: Build and maintain data pipelines, including scripts, queries, and ETL flows to ensure data accuracy and integrity.
  • Reporting and Visualisation: Design and implement scalable data architecture and processes for collection, cleansing, storage, and transformation.
  • Leadership and Collaboration: Lead the development and maintenance of a centralized data warehouse aligned with evolving business needs.

Requirements
  • A minimum of 5 years of experience as a Data Analyst in corporate, consulting, or startup environments.
  • Critical and strategic thinking skills.
  • 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 a knack for clear documentation and training to support scalable workflows.
  • Self-motivated, adaptable, and comfortable taking ownership in a dynamic environment.

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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