Samsung Analytics Assistant Supply Chain Management Team 

Latvia, Vidzeme, Riga 

127151740

About the role:Work with experts who value continuous improvement and quick progress. It is the ideal opportunity to flex your professional muscles and advance your skill-set fast. Get rewarded fairly with competitive salary + bonus linked to targets met individually and collectively. Plus, access perks like health insurance, lunch allowance, Samsung smartphone with all costs covered, vast e-learning platform access, hybrid work options...and many others.We offer the salary range of 1600 - 1800 Eur gross (based on experience) + Quarterly bonus based on KPI execution (up to 3000 Eur gross).

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.

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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