2 дня назад
BS Middle Business Analyst (SQL/Data)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
BS Middle Business Analyst (SQL/Data): Analyzing business needs, data mismatches, and data quality issues for data products with an accent on SQL-based investigation, process modeling, and requirements formalization. Focus on identifying root causes, coordinating resolution with technical stakeholders, and maintaining accurate documentation of data logic and features.
Location: Ukraine; remote or office work
Company
Business Systems is a product company focused on digital products and services for the FMCG industry, serving global clients including AB InBev.
What you will do
- Collaborate with cross-functional teams to gather and validate business needs and investigate data mismatches.
- Analyze business-reported issues, identify root causes, and coordinate resolution with relevant stakeholders.
- Monitor data quality and escalate issues when necessary.
- Work with data scientists and engineers to ensure data quality and relevance.
- Write user stories, manage the product backlog, and maintain documentation of data products, logic, and features.
- Ensure data accuracy, consistency, and compliance with internal standards while bridging business and technical teams.
Requirements
- Experience formalizing software requirements and assigning tasks to developers.
- Basic understanding of databases, data types, joins, data flows, and process modeling.
- Hands-on experience with SQL, MS SQL Server, and Excel, including simple queries.
- Familiarity with Azure Cloud and data warehouse solutions.
- Strong analytical and problem-solving skills.
- Upper-Intermediate English required for daily communication with clients and teams.
Nice to have
- Experience in data analysis.
- Knowledge of Power BI.
Culture & Benefits
- Remote or office work format in Ukraine.
- Work on a product serving a global FMCG client.
- Collaboration with cross-functional business, data science, and engineering teams.
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