Senior Data Analyst

Analyse complex Finance, commercial and operational datasets to identify trends, risks, opportunities and performance drivers. Partner with Finance, FP&A, Operations and executive stakeholders to understand business questions and translate them into analytical outputs. Design, develop and maintain Power BI dashboards, reports and data experiences with strong usability and consistent metric definitions. Support strategic Finance BI initiatives including ARR by Product, Personnel Planning, Finance Dashboard, planning cycles and executive reporting packs. Build business requirements, data definitions, KPI documentation and user stories for engineering and analytics delivery. Validate data accuracy, investigate variances and work with engineers or business owners to resolve data quality issues. Prepare clear insight summaries, commentary and recommendations for senior stakeholders. Drive adoption of self-service analytics by supporting users, improving report usability and promoting consistent data interpretation. Use AI-enabled analytics and Copilot-style workflows where appropriate to accelerate analysis, documentation and insight generation. Contribute to Finance BI standards for documentation, dashboard design, governance and reporting excellence.

Desired Candidate Profile

Qualifications Strong experience in data analysis, business intelligence, Finance analytics or performance reporting. Advanced Power BI skills, including report design, dashboard development and data model understanding. Strong SQL skills and ability to interrogate, join and validate complex datasets. Ability to translate business requirements into analytical solutions and communicate technical topics in simple business language. Strong stakeholder management, documentation and presentation skills. Good understanding of KPI design, data quality, variance analysis and reporting governance. Ability to work independently in a fast-moving environment with multiple priorities. PREFERRED SKILLS Finance, FP&A, SaaS metrics, ARR, ERP, planning or management reporting experience. Experience with Microsoft Fabric, Databricks, semantic models, Power Query, DAX, Python or other analytical tools. Strong data storytelling and executive presentation capability. Experience improving dashboard UI/UX and increasing analytics adoption. Exposure to AI-assisted analytics, Microsoft Copilot, Analyst Agents or data agents.