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.)Hands-on work with SQL, MS SQL Server, and Excel, including writing simple queriesKnowledge of data flow visualization and process modelingFamiliarity with Azure Cloud and Data Warehouse solutionsAnalytical and problem-solving skillsUpper-Intermediate English for daily communication with clients and teamsExperience in data analysis (nice to have)Knowledge of Power BI (would be a plus)
RESPONSIBILITIES
Collaborate with cross-functional teams to gather and validate business needs, including investigation of data mismatchesAnalyze issues reported by business teams to identify root causes and coordinate resolution with relevant stakeholdersMonitor data quality and escalate issues when necessaryWork closely with data scientists and engineers to ensure data quality and relevanceWrite user stories and manage the product backlogEnsure data accuracy, consistency, and compliance with internal standardsAct as a bridge between business and technical teamsMaintain documentation of data products, logic, and features
... :3+ years of experience in data analytics, data engineering, or business intelligenceBachelor’s or master’s degree in Data Science, Statistics, Mathematics, or Computer ...
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