Senior Business Analyst – Data & Reporting

Blueprint is a technology solutions firm headquartered in Bellevue, Washington, focused on leveraging technology to create additional revenue streams for organizations. In this role, you will drive operational excellence by managing business analysis, reporting, and serving as a bridge between business stakeholders and data teams to ensure accurate and actionable insights.

Responsibilities:

• Drive operational excellence by owning intake processes, business analysis, and reporting for a centralized data and insights platform
• Act as the bridge between business stakeholders and data/tooling teams, ensuring that reporting is accurate, actionable, and delivered consistently
• Design scalable processes, define metrics, maintain high data quality, and deliver executive-ready insights
• Lead requirements discovery across business, process, and data domains
• Translate ambiguous needs into user stories, acceptance criteria, and business rules
• Conduct process mapping (current-state and future-state) and document workflows
• Align stakeholders and drive consensus on requirements and priorities
• Maintain decision logs, documentation artifacts, and requirement traceability
• Design, build, and maintain Power BI dashboards, reports, and scorecards
• Understand data modeling concepts, measures (DAX), and calculated fields
• Deliver executive-ready reporting and data storytelling
• Turn ambiguous business questions into clear KPIs, metrics, and visual insights
• Manage report publishing, refresh cycles, and stakeholder consumption
• Work with Dataverse tables, including data structure, relationships, and updates
• Apply data quality practices, including validation, standardization, and duplicate handling
• Work with Excel-based inputs and data management workflows
• Coordinate with platform owners to support reporting pipelines, access, and data governance
• Manage stakeholder relationships and cross-functional collaboration
• Communicate effectively in writing and verbally with high attention to detail and accuracy in reporting and analysis
• Work independently and manage multiple priorities
• Support leadership-level reporting and decision-making

Requirements:

• Hands-on experience leading requirements discovery across business, process, and data domains
• Strong ability to translate ambiguous needs into user stories, acceptance criteria, and business rules
• Experience in process mapping (current-state and future-state) and documenting workflows
• Proven ability to align stakeholders and drive consensus on requirements and priorities
• Experience maintaining decision logs, documentation artifacts, and requirement traceability
• Proven experience designing, building, and maintaining Power BI dashboards, reports, and scorecards
• Strong understanding of data modeling concepts
• Strong understanding of measures (DAX) and calculated fields
• Strong understanding of data validation and quality checks
• Ability to deliver executive-ready reporting and data storytelling
• Experience turning ambiguous business questions into clear KPIs, metrics, and visual insights
• Hands-on experience with report publishing, refresh cycles, and stakeholder consumption
• Practical experience working with Dataverse tables, including data structure, relationships, and updates
• Strong understanding of data quality practices, including validation, standardization, and duplicate handling
• Experience working with Excel-based inputs and data management workflows
• Familiarity with Microsoft Fabric concepts, including data pipelines and refresh cadence, warehouse/lakehouse concepts, and semantic models
• Ability to coordinate with platform owners to support reporting pipelines, access, and data governance
• Strong stakeholder management and cross-functional collaboration
• Excellent written and verbal communication skills
• High attention to detail and accuracy in reporting and analysis
• Ability to work independently and manage multiple priorities
• Experience supporting leadership-level reporting and decision-making
• Experience working in large, matrixed enterprise environments
• Exposure to data governance frameworks and KPI taxonomy design
• Experience with AI-assisted analytics tools for insight generation
• Project management experience (tracking timelines, risks, and dependencies)
• Familiarity with Power Platform (Power Apps, Power Automate)