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.

- 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.

- Bachelor degree in Finance, Business Analytics, Data Analytics, Information Systems or equivalent practical experience. - 4+ years of relevant experience in BI, data analytics, Finance analytics or business analysis.