Senior Business Analyst (Data & Analytics)
- Remote.Bulgaria
- Remote.Poland
- Белград
- Варна
- Варшава
- Вроцлав
- Клуж-Напока
- Краков
- Ларнака
- Лодз
- Люблин
- Рига
- София
Малък екип (1-10 души)
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Position overview
The ideal candidate will work closely with business stakeholders, data engineers, BI developers, and product teams to define requirements, analyze data, manage delivery backlogs, and ensure that data products and reporting solutions meet business needs.
Responsibilities
- Collaborate with business stakeholders to gather, analyze, validate, and document business and data requirements.
- Translate business needs into functional, operational, reporting, and data requirements.
- Create clear and structured requirements documentation, user stories, process flows, and acceptance criteria.
- Analyze and validate data using SQL and relational databases to support requirement discovery, data quality investigations, and solution validation.
- Work closely with data engineers, BI developers, and product teams to ensure alignment between business objectives and technical implementation.
- Review, create, prioritize, and manage Jira backlog items, user stories, and enhancement requests.
- Understand and document data flows across systems, including source systems, transformations, warehouses, and reporting layers.
Requirements
- 4+ years of experience as a Business Analyst, preferably within data-intensive environments.
- Financial Services industry experience.
- Strong understanding of business analysis methodologies and software development lifecycle (SDLC).
- Solid understanding of how data flows through an organisation — from source systems through to reporting layers; able to read data models, dictionaries, and lineage diagrams
- Comfortable writing basic-to-intermediate SQL to independently verify data and investigate discrepancies without relying on engineers
- Familiar with DWH concepts and modern data platforms (Snowflake, Databricks) — understands layering, data flow, and can hold a meaningful conversation with a data engineer
- Understands data governance fundamentals: ownership, stewardship, data quality rules, lineage, and PII/access considerations
- Experienced in defining reporting requirements — metrics, calculation logic, dimensions — and bridging the gap between business users and BI developers
- Experience working with Agile methodologies and Jira backlog management.
- Strong analytical and problem-solving skills with the ability to independently investigate data-related issues.
- Excellent verbal and written communication skills.
Nice to have
- Asset Management domain experience.
- Experience working with enterprise reporting and BI solutions.
- Familiarity with cloud-based data ecosystems and analytics architectures.
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