Senior Business Intelligence Analyst - transformation&migration (k/m/n)

Nexio Management operates in an international environment focusing on enterprise business intelligence (BI) transformation and migration projects. The company supports long-term projects collaborating with leading companies in the IT industry.

• At least 8 years of experience in senior business analysis, enterprise BI, analytics delivery, portfolio transformation, or implementation consulting.
• Practical experience in BI portfolio assessment, reporting rationalization, migration planning, analytics lifecycle management, or dashboard decommissioning.
• Strong skills in business analysis including requirements engineering, KPI definition, business rules, acceptance criteria, and requirements traceability.
• Understanding of enterprise BI environments including data sources, semantic layers, data quality, governance, access controls, and reporting dependencies.
• Experience with Power BI, Tableau, or comparable enterprise analytics platforms.
• Familiarity with Jira, Confluence, and Excel; SQL or hands-on data profiling skills are advantageous.
• Experience coordinating international stakeholders across business, data, and technology functions.
• Strong organizational skills, analytical thinking, and ability to drive workstreams independently.
• English proficiency at C1 level.
• University degree in Business, IT, Data Analytics, Engineering, or related discipline.

• Build and maintain a comprehensive inventory of BI reports, dashboards, and analytical products, including ownership, usage, dependencies, and business purpose.
• Evaluate reporting assets based on business value, duplication, data quality, maintenance effort, strategic relevance, and platform suitability.
• Develop recommendations on asset retention, consolidation, migration, enhancement, replacement, or decommissioning.
• Establish migration priorities and maintain roadmaps covering readiness activities, gap resolution, implementation, rollout, and legacy retirement.
• Assess business and data readiness and identify gaps in KPI definitions, data sources, governance, documentation, access, and support.
• Translate business objectives into actionable requirements, business rules, data-quality expectations, and acceptance criteria.
• Coordinate activities and dependencies among business owners, Data Domain Owners, product teams, and technical delivery streams.
• Organize business acceptance testing (UAT) including scenario preparation, defect follow-up, retesting, and validation.
• Support rollout and adoption of migrated solutions and coordinate retirement of redundant reporting assets.
• Maintain decision logs, risk registers, portfolio documentation, progress reports, and transfer developed approach to internal teams.