Data Analyst

Work with business partners and senior analysts to clarify reporting and analysis needs, document requirements, and define measures. Build, update, and maintain Power BI reports and dashboards that present key performance indicators (KPIs) and business metrics clearly. Analyze data to identify trends, exceptions, and potential drivers; summarize findings and practical implications for business partners. Prepare, reconcile, and validate data from approved sources; investigate discrepancies and raise source-system or data-quality issues with the appropriate partners. Use industry standard tools like SQL, Power Query, DAX and AI to retrieve, transform, and analyze data, following established standards and guidance for more complex work. Maintain clear documentation for data sources, business definitions, calculations, reports, and recurring processes. Partner with IT, data engineering, and analytics teams to resolve data issues and support dependable data flows. Present results in clear, concise language for technical and non-technical audiences, and respond to questions about reports and analysis. 2+ years of experience in data analysis, business intelligence, reporting, or a related field. Working proficiency and practical experience working with large data sets, KPIs, dashboards and analytical tools (e.g. SQL, Power Query, BI, excel or comparable analytics tools). Demonstrated experience using AI-enabled analytics tools to support data exploration, analysis, or automation, with the ability to validate outputs and apply them responsibly. Understanding of data quality, data modeling, reporting definitions, and common data preparation concepts. Ability to investigate data questions, validate results, and document assumptions and methods. Business curiosity and the ability to connect analysis to operational questions and user needs. Ability to communicate clearly in writing and verbally, including explaining findings to business audiences. Ability to organize assigned work, manage priorities, and collaborate across teams in a changing environment. Experience partnering with senior leaders, translating analytical findings into clear and credible recommendations. Experience with Professional Services, Customer Success, Support Services, and/or Managed Services at a SaaS or technology based company. Demonstrated experience developing and presenting information in executive presentations.