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Analytics Assistant in Supply Chain Management Team

Company:
Samsung Electronics
Location:
Riga, 1013, Latvia
Posted:
April 28, 2025
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Description:

Position Summary

We inspire the world with Innovative products. Our technology and talented people being at the heart of our business is what drives us to succeed, so naturally, we work hard to search for the top talent and invest in our people to help them achieve personal and professional excellence. Being a part of a global brand leader, we provide dynamic work environment full of possibilities in the heart – Riga. Our team spirit is our greatest strength as together we achieve the seemingly impossible. Join us and become a part of a global community of champions.

We offer the salary range of 1600 - 1800 Eur gross (based on experience) + Quarterly bonus based on KPI execution (up to 3000 Eur gross).

Role and Responsibilities

Key Responsibilities

Support SCM specialists by handling data-intensive tasks, especially where advanced Excel skills or automation is needed.

Develop and maintain Excel-based tools, including use of formulas, pivot tables, and macros to streamline planning processes.

Pull, clean, and consolidate data from various systems (e.g. ERP, CRM, forecasting tools) into clear, actionable reports.

Create dashboards to provide real-time supply chain visibility to stakeholders.

Assist in preparing materials and reports for sales and demand planning meetings.

Act as a liaison between SCM and sales teams, ensuring accurate and timely information flow.

Help structure demand and supply data logically to support effective analysis, without taking ownership of final planning decisions.

Skills and Qualifications

Key competencies & Qualities

Strong proficiency in Excel, macros and data analysis tools

Fluency in English (minimum C1 level)

Strong communication skills for cross-functional and multi-cultural collaboration

Familiarity with supply chain or demand planning concepts is a plus, but not mandatory

Detail-oriented personality with a structured approach to data and reporting

Ability to adapt in a multi-national environment

Ability to work under pressure - keep up to speed and manage change in a fast moving environment

Ability to proactively in identifying process improvement opportunities

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