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.