Senior Staff, Business Data Analyst

Intuit; Frisco (TX); On-site; USD 184,000 - 249,000; Full time

Job summary

Intuit is seeking a Senior Staff Business Data Analyst to shape the reporting, analytical, and AI-ready layer built on sales data. You will own the end-to-end analytics lifecycle from schema design to the weekly sales metrics used by leadership.

You will design dashboards, enforce data governance, and partner with Data Operations to refine models and metrics across CRM, accounts, opportunities, and campaigns. This role emphasizes senior technical guidance and cross-team collaboration.

Qualifications

• 4+ years in business intelligence, analytics engineering, or data analysis.
• Expert SQL, with the ability to build complex queries and structures for high-volume data.
• Strong analytical data modeling skills including dimensional design and conformed dimensions.
• Hands-on experience with a modern BI platform (Tableau/Power BI/Looker) including semantic layer design and governance.
• Direct experience with CRM data, with Salesforce strongly preferred.
• Experience building operational reporting with freshness expectations and change communications.
• Ability to translate unclear questions into defensible metrics with leadership.

Responsibilities

• Design and build dashboards and reporting views for sales metrics (pipeline, coverage, win rate, forecast attainment, partner performance).
• Set data governance guidance on assets vs ad hoc reporting and retirement of assets.
• Create reusable views and defined grains to ensure consistent metric logic across dashboards.
• Collaborate with Data Operations on data model improvements (accounts, opportunities, contacts, activities, campaigns, leads).
• Defend canonical KPI definitions and explain calculations down to the how and why.
• Perform analytics for coverage models, funnel diagnostics, and territory/channel performance.
• Mentor teammates, review analysts’ models, and document standards.
• Own end-to-end scope from schema design to sales metrics consumed weekly.

Skills

SQL

Data modeling

BI tooling experience

Tools

Tableau

Power BI

Looker

Salesforce

Databricks

Snowflake

Python

Job description

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.