Junior Product Information Analyst

ABOUT COMPANY

SoftServe Business Systems was founded in 2003. We aim high; our mission is to lead the digital revolution in the FMCG industry. It means delivering the best products & services possible that empower businesses to grow and improve efficiency.

We are a product company, and this affects our day-to-day activities. Our team is highly involved in the client’s needs, we value business expertise, and we take every step with extra carefulness. Among our clients are businesses like AB InBev, Unilever, JDE, PepsiCo, Henkel, and others.

SoftServe Business System’s ideal candidate can share the company’s values and become a reliable partner for the team.

REQUIREMENTS

• Strong analytical skills, high attention to detail, and a systematic approach to working with large volumes of structured and repetitive data
• Confident Excel user (filters, formulas, structured tables; Power Query is a plus)
• Good visual perception to compare products, designs, and packaging details
• Experience with product catalogs, datasets, or structured content is a plus
• Clear written communication skills to request and clarify information with clients
• Responsible, attentive, patient, and consistent; able to maintain quality in repetitive tasks and take ownership of assigned work
• Calm, focused, and willing to learn and deepen understanding of the product and domain
• Basic understanding of retail shelf layout principles is a plus
• English proficiency: Strong Intermediate+

Nice-to-have skills

• Experience with FMCG products, retail audits, or shelf analytics
• Familiarity with image-based analysis, product recognition workflows, or work with ambiguous or incomplete data
  

  RESPONSIBILITIES 

• Processing, analyzing, and maintaining large volumes of structured product data with high accuracy and attention to detail
• Working with Excel files (filters, formulas, structured tables) to validate, update, and organize datasets
• Comparing products, designs, and packaging details to identify differences, inconsistencies, and errors
• Ensuring data quality and consistency across product catalogs and related materials
• Following defined rules, patterns, and workflows when performing repetitive data tasks
• Communicating clearly in writing with clients or internal stakeholders to request, clarify, and confirm missing or unclear information
• Applying basic retail shelf layout principles when reviewing or organizing product data
• Taking ownership of assigned tasks, meeting deadlines, and maintaining consistent output quality
• Learning project-specific guidelines, product details, and domain knowledge to continuously improve performance