Hybrid Senior Forecasting & Analytics Lead

Copeland Supply

Philippines

Hybrid

PHP 500,000 - 800,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work arrangement
Mid-shift schedule
Quezon City on-site

Job summary

Copeland Supply seeks a data analyst to consolidate data from diverse sources and standardize it for insightful reporting. You will employ automated tools to merge data, apply calculations, and clean datasets to support marketing and sales decision making.

You will also build charts and trends, present forecasts to stakeholders, and contribute to production planning through demand reviews. Strong Excel/SQL skills and English communication are essential.

Qualifications

  • Graduate of a 4-year business course; engineering or IT degrees are considered.
  • 2+ years in supply chain, engineering or manufacturing analytics.
  • Experience with product analysis or planning systems is an advantage.

Responsibilities

  • Consolidates and standardizes data from multiple sources.
  • Uses automated tools to extract and combine data for analysis.
  • Applies basic calculations to summarize data into actionable information.
  • Cleans data per predefined guidelines and formats reports.
  • Creates charts and summaries to support marketing and sales decisions.
  • Presents forecasts and gaps to stakeholders for buy-in.
  • Supports production planning with demand trend reviews.
  • Documents new processes and reports.

Skills

Analytical skills
Problem solving
Multi-tasking
Cross-trained capability
Backup functions
English communication

Education

Bachelors in business
Engineering background
IT/CS degree a plus

Tools

Sigma
Oracle
Demantra
MS Excel
MS PowerPoint
MS Access
SQL

Job description

Copeland Supply seeks a data analyst to consolidate data from diverse sources and standardize it for insightful reporting. You will employ automated tools to merge data, apply calculations, and clean datasets to support marketing and sales decision making.

You will also build charts and trends, present forecasts to stakeholders, and contribute to production planning through demand reviews. Strong Excel/SQL skills and English communication are essential.

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