Senior Business/Data Analyst

The workly · Vienna, Austria
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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