Senior Business Intelligence Analyst

Avalara is an AI-first company focused on redefining the relationship between tax and technology. They are seeking a Senior Business Intelligence Analyst to support the Customer Experience Operations team by managing and interpreting operational performance data, ensuring metrics are accurately tracked and reported, and driving improvements in reporting processes.

Responsibilities:

• Own the governance and enforcement of operational data and KPIs, including source-of-truth documentation, calculation integrity, and alignment across teams and platforms, in partnership with CXO-defined metric frameworks
• Continuously simplify, standardize, and consolidate reporting to reduce redundancy, eliminate conflicting metrics, and improve clarity of operational performance signals for CES leaders
• Partner with GAI and Data Science to ensure upstream data is structured, maintained, and evolved with integrity to support reliable operational reporting and forecasting
• Collaborate with the Customer Transformation team to shape, QA, and maintain Power BI dashboards, ensuring outputs meet CES operational needs and are trusted for decision-making
• Lead operational performance reporting for Monthly Business Reviews (MBRs), coordinating cross-functional inputs and producing clear, consistent outputs that enable faster leadership alignment
• Build and maintain lightweight operational dashboards and reports using SQL, Excel, Power BI, and automation platforms to support ongoing performance tracking and ad hoc analysis
• Identify and implement opportunities to automate reporting and streamline analytical workflows using AI tools, LLMs, scripting, or other efficiency levers
• Work closely with analysts across CX and the broader Customer organization to:
• Align on data standards, definitions, and reporting best practices
• Maintain clear roles, responsibilities, and collaboration norms
• Prevent duplicative reporting, metric drift, or misaligned interpretations across teams

Requirements:

• Bachelor's degree in Business Analytics, Information Systems, Mathematics, or similar quantitative field
• 4–6 years of experience in business intelligence, analytics, or data operations, supporting operational or customer-facing teams
• Demonstrated experience incorporating AI or automation tools into reporting or data workflows to improve efficiency, consistency, or scalability of operational analytics
• Strong SQL and Excel skills; proficiency with Power BI or equivalent BI platforms
• Demonstrated experience governing operational metrics, maintaining KPI documentation, and standardizing reporting across teams
• Experience working with CRM and support platforms such as Salesforce and Gainsight and understanding how operational workflows translate into data
• Experience modeling trends, forecasting performance, or assessing the impact of operational changes on key metrics
• Strong judgment in interpreting data in dynamic environments, including identifying risk, explaining tradeoffs, and recommending where attention or action is needed
• Proven ability to work across technical and non-technical teams to align reporting structure, priorities, and ways of working
• Comfortable driving structure, asking hard questions, setting a high bar for reporting quality, and reducing ambiguity in how performance is measured
• Curiosity and working knowledge of automation or AI-enabled tools to improve reporting efficiency and scalability (without requiring deep data science expertise)
• Experience with MBU, QBE, or operational review processes
• Exposure to enterprise data architecture or performance management systems