Senior Business/Data Analyst
- Location
- Vienna, Austria
- Work mode
- Remote
- Type
- Contract
- Seniority
- Senior
- Salary
- Not stated
- Languages
- EN
- Posted
- 12 Nov 2026
Verified open 12 Nov 2026 · Source: Company careers page
About the role
Remote, EuropeRemote
Senior Business/Data Analyst
About
Start: Q1 2027
Duration: 12 months++
Workload: Parttime 20hr/week
Location: Vienna & remote (1 time per month on site)
Language: English
Responsibilities
- Gather, analyze, document, and manage business and data requirements
- Organize and facilitate workshops with business, controlling, finance, and technology stakeholders
- Analyze reporting and analytical requirements and translate them into functional specifications and acceptance criteria
- Support backlog management, refinement, prioritization, and iterative delivery
- Coordinate activities between business stakeholders and technical delivery teams
- Ensure alignment between business objectives and delivered analytical solutions
- Validate implemented solutions against business requirements and expectations
- Support testing, user acceptance testing, rollout, and release activities
- Contribute to the development of scalable reporting and analytics solutions for management and controlling processes
Requirements
- Minimum 5 years of relevant experience in Business Analysis, Data Analysis, Requirements Engineering, or a comparable role
- Strong experience in business and data analysis within reporting, analytics, or data platform initiatives
- Proven experience gathering and documenting business requirements, functional specifications, user stories, and acceptance criteria
- Good understanding of analytical data platforms, Data Warehousing, and reporting solutions
- Familiarity with Databricks and Tableau environments
- Experience with management reporting, KPI reporting, profitability, cost management, or financial performance management
- Proven experience working in Agile/Scrum environments, including backlog refinement, sprint planning, testing, and release activities
- Experience within banking, financial services, finance, or controlling is highly beneficial
- Experience supporting enterprise-scale data transformation initiatives
- Excellent stakeholder management and communication skills, a structured and analytical mindset, strong facilitation capabilities, and the ability to bridge business and IT perspectives
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