Senior Staff Business Data Talent Analytics Lead

Intuit; San Diego (CA); On-site; USD 172,000 - 232,000; Full time

Job summary

Intuit’s PART team seeks a Senior Staff Business Data Analyst to lead talent analytics strategy, spanning workforce planning, recruiting metrics, and executive insights. You will automate reconciliation, build scalable pipelines, and develop AI-enabled analytics for senior leaders.

You will partner with People, Talent Acquisition, and Finance to ensure data quality and trusted reporting across systems, while delivering intuitive dashboards and self-service insights to executives.

Qualifications

• Bachelor's degree in a data/people analytics field or related discipline.
• 8+ years of experience in business/data analytics with ownership of talent analytics, workforce planning, recruiting/TA, or broader people analytics data.
• Strong hands-on experience with building and deploying AI agents to deliver Talent insights at scale.
• Working knowledge of data warehouse, data pipeline, and data architecture concepts and how they affect analytics at scale.
• Experience automating manual reporting processes and building scalable dashboards or self-service tools.
• Strong data quality instincts, able to define and enforce standards that senior leaders can trust.
• Excellent communication skills with a track record of presenting to and influencing senior stakeholders and executive leadership.
• Ability to operate autonomously in ambiguous situations, translating loosely defined requests into structured, durable solutions.

Responsibilities

• Own end-to-end data strategy across talent analytics, including workforce planning and talent acquisition metrics.
• Automate manual reconciliation processes to deliver a near real-time view of talent data.
• Partner with People, Talent Acquisition, and Finance to keep analytics data aligned across systems.
• Understand how talent data is structured and moved across databases and pipelines.
• Establish data quality standards so dashboards and reporting are trusted by executives.
• Identify opportunities to convert ad hoc requests into durable automated solutions.
• Design and build dashboards and visualizations for leaders and stakeholders.
• Translate complex talent data into clear narratives and recommendations for senior leaders.
• Continuously improve self-service reporting so stakeholders can access answers without custom pulls.
• Build and deploy AI agents to deliver insights and automate recurring analytics tasks.
• Evaluate and pilot new AI tools for talent analytics and workforce planning.
• Partner with data engineering to ensure talent data is well-structured and AI-ready.
• Act as a senior technical thought partner to executives on talent data and insights.
• Manage ad hoc requests while maintaining standard intake processes.
• Present talent data credibly to senior and executive audiences.

Skills

AI agents

Executive stakeholder communication

Data visualization

Autonomy in ambiguity

Education

Bachelor's degree in Data Analytics, Business, HR, I/O Psychology, or related field

Tools

Workday HCM

Avature

ATS platforms

Job description

Overview

The People & Places Analytics, Research, and Technology (PART) team is looking for a Senior Staff Business Data Analyst to lead the technical strategy for Talent Analytics, spanning workforce planning, talent acquisition, and broader people insights. As Intuit scales its use of people data to power headcount, hiring, and organizational decisions, the volume and complexity of talent data such as, current headcount, open requisitions, planned exits, hiring projections, and recruiting pipeline metrics continues to grow. We need a senior, hands-on analyst who can automate today's manual reconciliation work, build the pipelines and dashboards that scale insight delivery across the talent lifecycle, and apply AI to get the right analytics to the right teams.

This is a highly visible role that will partner directly with senior stakeholders and Intuit's senior leadership team, and will shape how talent data flows from source systems through to executive decision-making.

Responsibilities

Talent Analytics Strategy & Data Ownership

• Own the end-to-end data strategy across talent analytics, including workforce planning (headcount, requisitions, planned exits, hiring projections) and talent acquisition (recruiting funnel, time-to-fill, quality-of-hire)
• Automate manual reconciliation processes to deliver a consistent, trusted, near real-time view of talent data
• Partner with People, Talent Acquisition, and Finance teams to keep talent analytics data aligned across systems

Data Quality, Pipelines & Architecture

• Understand and influence how talent data is structured, stored, and moved across databases, data warehouses, and data pipelines
• Establish and enforce data quality standards so downstream dashboards and executive reporting can be trusted
• Identify opportunities to convert ad hoc or manual data requests into durable, automated solutions

Visualization & Insight Delivery

• Design and build intuitive, high-quality dashboards and visualizations for people leaders, Talent Acquisition, and business stakeholders
• Translate complex talent data into clear narratives and recommendations for senior leaders
• Continuously improve self-service reporting so stakeholders can find answers without requiring a one-off data pull

AI-Enabled Analytics

• Build and deploy AI agents (e.g., using Claude and similar tools) to deliver insights /reporting, automate relevant recurring analytics tasks, applying agent architecture thinking to scale delivery and speed up time-to-insight for stakeholders.
• Evaluate and pilot new AI tools and approaches for talent analytics, workforce planning, and people analytics
• Partner with data engineering to ensure talent data is well-structured and AI-ready

Stakeholder & Executive Partnership

• Act as a senior technical thought partner to senior stakeholders, SLT, and Intuit executives on talent data and insights
• Manage ad hoc requests from senior leadership, balancing responsiveness with the discipline of the team's standard intake process
• Present talent data and insights clearly and credibly to senior and executive audiences

Qualifications

• Bachelor's degree in Data Analytics, Business, Human Resources, Industrial/Organizational Psychology, or a related field.
• 8+ years of experience in business/data analytics, with demonstrated ownership of talent analytics, workforce planning, recruiting/TA, or broader people analytics data
• Strong hands-on experience with building and deploying AI agents to deliver Talent insights at scale
• Working knowledge of data warehouse, data pipeline, and data architecture concepts, and how they affect analytics at scale
• Experience automating manual reporting processes and building scalable dashboards or self-service tools
• Strong data quality instincts, able to define and enforce standards that senior leaders can trust
• Excellent communication skills, with a track record of presenting to and influencing senior stakeholders and executive leadership
• Ability to operate autonomously in ambiguous situations, translating loosely defined requests into structured, durable solutions
• Preferred:
• Experience with Workday HCM data and Avature or other ATS/recruiting platforms
• Experience partnering with Talent Acquisition or recruiting analytics teams on funnel, sourcing, or pipeline metrics
• Familiarity with People Data governance, security, and access considerations

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The Expected Base Pay Range For This Position Is

San Diego $171,500 - $231,500

Mountain View, CA $184,000- $249,000