Sales Operations Analytics Data Jobs

1 job found

1d ago

Senior Staff, Business Data Analyst

Intuit Frisco, TX

Frisco, TX

1d ago

$184k - $249k/yr Full time Senior Business Analytics Business Intelligence

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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.

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