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Front-End Data Engineer (Power BI Analyst)

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Onsite

Front-End Data Engineer (Power BI Analyst)

Goldilocks Bakeshop Inc.

Front-End Data Engineer (Power BI Analyst)

Skills

SQL QueriesData MiningPythonRMachine LearningSupply ChainCompliancePower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Metro Manila, Philippines

Work mode:

Onsite

Published on:

19 August 2026

What they need


  • Design, develop, and maintain interactive dashboards and reports using Microsoft Power BI.
  • Analyze large datasets to identify trends, patterns, and business opportunities within manufacturing and retail operations.
  • Gather reporting requirements from stakeholders and translate them into effective BI solutions.
  • Create and maintain data models, measures, and calculations using DAX.
  • Perform data validation, cleansing, and quality checks to ensure reporting accuracy.
  • Develop KPI dashboards for sales, inventory, production, supply chain, and operational performance.
  • Enhance user experience by designing intuitive and visually compelling reports and dashboards.
  • Collaborate with Data Engineers, Business Analysts, and department leaders to support business initiatives.
  • Monitor report performance and implement improvements to optimize dashboard efficiency.
  • Provide data-driven recommendations to improve operational and business performance.
  • Prepare recurring and ad hoc reports for management and business users.
  • Ensure compliance with data governance and reporting standards.

QUALIFICATIONS:

  • BS in Computer Science, Engineering, Math, Statistics or a relevant field.
  • Proven experience as a Data Analyst
  • Experience in data mining
  • Understanding of machine learning and operations research
  • Knowledge of R, SQL and/or Python
  • Analytical mind and business acumen.
  • Strong math skills and statistics
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • Preferably Power BI Developer
  • Willing to work in Mandaluyong City
  • Full Onsite work set-up

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