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Data Analyst

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Onsite

Data Analyst

IT AVENUE GENERAL MERCHANDISE

Data Analyst

Skills

SQL QueriesLookerTableauPythonData AnalysisSupply ChainPower BI

1 month ago

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Important information


Contract type:

Permanent

Location:

Quezon City, Metro Manila, Philippines

Work mode:

Onsite

Published on:

17 September 2026

What they need


About the role

The Data Analyst transforms raw project and procurement data into actionable insights that support the team's decision-making. The role covers two core functions: (1) providing data-driven pricing recommendations to support bid submissions using historical project data, and (2) building and maintaining dashboards, reports, and templates that give leadership clear visibility into business performance.

Key responsibilities

  • Maintain and update a historical database of project costs, bid prices, awarded amounts, and profit margins
  • Analyze historical data to recommend competitive and profitable bid prices for each new opportunity
  • Calculate cost estimates including total project cost, admin charge, expected margin, and deductions
  • Compare proposed bid prices against the ABC to maximize win probability
  • Prepare pricing summary reports for BDCs before bid submission deadlines
  • Log bid outcomes (won/lost) and continuously refine pricing models based on actual results
  • Design and maintain interactive dashboards using BI tools (Power BI, Tableau, or similar)
  • Build reports tracking key metrics: project pipeline, win rates, margins, and collection status
  • Create standardized report and analysis templates for recurring business reporting needs
  • Automate recurring reports where possible to reduce manual effort and ensure consistency

About you

  • Bachelor's degree in Statistics, Business, Information Technology, Mathematics, Applied Mathematics, Computer Engineering, or related field

  • 1–4 years of experience in data analysis, pricing, or reporting roles

  • Experience with BI tools such as Power BI, Tableau, or Looker

  • Advanced Excel and/or Google Sheets (pivot tables, formulas, data modeling)

  • SQL or Python for data querying and analysis (preferred)

  • Strong analytical thinking and attention to detail in pricing accuracy

  • Background in procurement cost analysis or supply chain costing

  • Experience building or automating BI dashboards and report pipelines

  • Fresh graduates with strong academic standing may be considered.

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