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Sales Intern

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Onsite

Sales Intern

Beiersdorf

Sales Intern

Skills

Testing & QAData Analysis

2 months ago

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Important information


Contract type:

Permanent

Location:

Taguig, Metro Manila, Philippines

Work mode:

Onsite

Published on:

11 August 2026

What they need


Main Accountabilities:

The intern will support the OLAP data migration project by assisting in the upload, validation, documentation, and quality assurance of historical and current sales data. The role will also provide support for business reporting and ad hoc data requests from stakeholders, ensuring data accuracy and reliability across systems.

Roles and Responsibilities

  • Support the migration of historical and current sales data into the OLAP system.

  • Upload, maintain, and validate sales and master data to ensure completeness, and accuracy.

  • Perform data mapping, reconciliation, and quality checks between source and target systems, identifying and resolving data discrepancies.

  • Performs ETL, testing, and documentation related to migration and reporting activities.

  • Generate standard and ad hoc reports, analyses, and data extracts to support stakeholder requirements.

  • Coordinate with business users and stakeholders to address data-related inquiries and reporting requests.

  • Support other Business Intelligence initiatives and administrative tasks as required.

  • PO Monitoring to invoicing to delivery

  • Winsight Data/Igate Portal

  1. Offtake - Base, Promo, Bundles, NPDs

  2. Stocks Weeks Cover, Value, Qty and SMS

  3. Brand Ranking per Category

  4. LFL Gr vs Retailer

  5. Category performance

  6. SKU Mapping (based on SKU item barcode)

  • VMI
  1. Store distribution

  2. Stock Weeks Cover

  • SISO

Knowledge, Skills and Experience

  • Currently, pursuing a degree in Information Technology, Computer Science, Information Systems, Data Analytics, Statistics, Business Analytics, or related fields.

  • Knowledgeable in Microsoft Excel (Power Query) and data management concepts is an advantage.

  • Strong analytical skills, attention to detail, and ability to work with large datasets.

  • Collaboration, organization, and problem-solving skills.

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