Senior Data Analyst

Job Description

• 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.

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.