Senior Staff, Business Data Analyst

Intuit is looking for a Senior Staff Business Data Analyst to help shape the reporting, analytical, and AI-ready layer built on sales data. This role is an organizational-scope, senior individual contributor position, responsible for taking metrics from schema design through to the numbers sales leaders use every week.

What you’ll do

• Design and build dashboards and reporting views that the sales organization relies on, including pipeline, coverage, win rate, forecast attainment, and partner performance, with an emphasis on coherence and long-term maintainability.
• Set clear guidance on what becomes a governed data asset, what remains ad hoc, and what should be retired over time.
• Build the layer between certified base tables and end users by creating reusable views, defining grains, establishing conformed dimensions, and implementing metric logic consistently to prevent conflicting answers across dashboards.
• Partner with Data Operations to work through the underlying model, including account, opportunity, contact, activity, contact role, campaign membership, account team, and lead.
• Contribute to and defend canonical KPI definitions, including base query logic, grain, exclusions, and edge cases, and be able to explain contested calculations down to the “how” and “why.”
• Perform analytics for coverage models, buying-group completeness, funnel diagnostics, and territory and channel performance for both direct and partner-led motions.
• Establish patterns for others to follow, review analysts’ models, mentor teammates, and document standards.
• Own the end-to-end span from schema design through to the specific sales metrics consumed on a Monday morning.

Requirements

• 4+ years in business intelligence, analytics engineering, or data analysis, including experience as a senior technical voice on ambiguous, cross-team problems.
• Expert SQL, with the ability to build complex queries and structures that handle high-volume datasets and cross–line of business schemas.
• Strong analytical data modeling skills, including dimensional design, grain discipline, conformed dimensions, slowly changing dimensions, and judgment around when to denormalize.
• Hands-on experience with a modern BI platform such as Tableau, Power BI, Looker, or an equivalent tool, including semantic layer design, extract and performance tuning, and governance of published assets.
• Direct experience with CRM data, with Salesforce strongly preferred, including knowledge of standard objects and the failure modes that can occur when joins are done without care.
• Experience building operationally relied-upon reporting, including freshness expectations, breakage handling, change communication, and deprecation.
• Ability to work with sales leaders to translate unclear questions into defensible metrics, with the capability to push back when a requested metric cannot answer the underlying question.

Technologies

• SQL
• Tableau
• Power BI
• Looker
• Salesforce
• Databricks
• Snowflake
• Python

Compensation and location

• Location: Frisco, TX (onsite)
• Salary: USD 184,000 - 249,000 per year
• Minimum experience: 4 years
• Base pay range note: The expected base pay range for this position is Mountain View $184,000 - $249,000

Benefits

• Intuit provides a competitive compensation package, including strong pay for performance rewards.
• This position may be eligible for a cash bonus, equity rewards, and benefits, in accordance with applicable plans and programs.
• Pay offered is based on job-related knowledge, skills, experience, and work location.

Preferred

• Experience supporting sales, revenue, or partner/channel operations.
• Experience with partner or channel-led models, including reporting partner relationships as first-class entities rather than treating them as an afterthought in a direct-sales schema.
• Cloud warehouse or datalake depth (Databricks, Snowflake, or equivalent), plus transformation frameworks, orchestration, and version-controlled analytics code.
• Python (or equivalent) for analysis beyond what SQL covers well.
• Experience maintaining continuous reporting through a major system migration while underlying sources change.
• Familiarity with conversation-intelligence and sales-engagement data, including data-quality realities of seller-created records.