ABOUT COMPANY

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

We are a product company, and this shapes our day-to-day activities. Our team is deeply engaged in understanding clients’ needs, we value business acumen, and we approach every step with great care. Our clients include global companies such as AB InBev, Unilever, JDE, PepsiCo, Henkel, and others.

Our client for this project is Anheuser-Busch InBev (AB InBev) — the largest brewery company in the world. AB InBev owns over 630 beer brands (including Budweiser, Stella Artois, Hoegaarden, Beck’s, Leffe, and Chernigivske) in 150 countries and holds approximately 28% of the global beer market. The European headquarters is located in Leuven, Belgium.

REQUIREMENTS

Experience in formalizing software requirements and assigning tasks to developersBasic understanding of data concepts (databases, data types, joins, etc.)Familiarity with SQL, MS SQL Server, Excel, and writing simple queriesKnowledge of data flow visualization and process modelingExperience with tools like JIRA, Confluence, or Azure DevOpsAnalytical and problem-solving skillsClear and effective verbal and written communicationCurious mindset and willingness to learn new tools and business domainsUpper-Intermediate English for daily communication with clients and teamsPower BI knowledge (nice to have)

RESPONSIBILITIES

Collaborate with cross-functional teams to gather and validate business needsTranslate objectives into clear data product requirementsWork with data scientists and engineers to ensure data quality and relevancePresent insights in a business-friendly formatDefine and prioritize features for dashboards, reports, and modelsWrite user stories, acceptance criteria, and manage the product backlogSupport sprint planning, reviews, and retrospectivesEnsure data accuracy, consistency, and compliance with internal standardsWork with data stewards to maintain definitions and KPIsMonitor data quality and escalate issues when necessaryAct as a bridge between business and technical teamsMaintain documentation of data products, logic, and features