Senior Staff Business Data Analyst

Intuit

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Mountain View, CAFrisco, TX
Salary
$184,000–$249,000 / yr
Posted
16 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k
This role $216k
$119k $263k
below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $139,137–$214,575 — the blue band above. At the midpoint, this role pays about $216k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 224 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 203 roles with salary data.

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At a glance

TL;DR · Senior Staff Business Data Analyst

The Senior Staff, Business Data Analyst is a senior individual contributor role responsible for building the reporting, analytical, and AI layer on top of the sales data foundation. You will design and build dashboards for pipeline, coverage, win rate, and forecast attainment while developing semantic models and data architecture. Key responsibilities include schema design, resolving account and customer identifiers, and defining canonical KPI metrics. You will work with Data Operations on models for accounts, opportunities, and leads. Required skills include expert SQL, dimensional data modeling, and experience with modern BI platforms like Tableau, Power BI, or Looker. You must have experience with CRM data, specifically Salesforce. The role involves solving complex problems regarding data integrity, taxonomy, and providing analysis for coverage models and territory performance.

What you'll do

  • Design and build a coherent architecture of dashboards and reporting views for the sales organization.
  • Build a semantic layer of reusable views and conformed dimensions to ensure consistent metric logic.
  • Collaborate with Data Operations to design and shape the underlying data models for accounts, opportunities, and leads.
  • Resolve complex identity and taxonomy issues for accounts, companies, and product lines across different systems.
  • Define and defend canonical KPI definitions, including base queries, grains, and specific exclusions.
  • Perform deep-dive analysis on coverage models, funnel diagnostics, and territory performance to influence business decisions.
  • Set technical standards, review other analysts' models, and mentor team members to scale data capabilities.

What we're looking for

  • 4+ years of experience in business intelligence, analytics engineering, or data analysis.
  • Expert SQL skills to develop complex queries and structures for high-volume datasets.
  • Strong analytical data modeling skills including dimensional design, grain discipline, and conformed dimensions.
  • Deep hands-on experience with a modern BI platform like Tableau, Power BI, or Looker.
  • Direct experience with CRM data, with Salesforce strongly preferred (preferred).
  • Experience building operationally dependent reporting, including breakage handling and change communication.
  • Ability to translate vague business questions into defensible metrics for sales leaders.
  • Experience with cloud warehouses, transformation frameworks, and Python (preferred).

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