People Data Analyst

Applied Intuition
Sunnyvale, California, United StatesPosted 18 April 2026

Tech Stack

Job Description

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. About the role We are seeking a People Data Analyst to deliver actionable workforce insights and support strategic decision-making across the People team and the broader business. This role will focus on collecting, consolidating, analyzing, and reporting on data related to employee engagement, retention, organizational effectiveness, and talent development. The position is ideal for candidates experienced in leveraging data to drive business process improvements and strategic outcomes. At Applied Intuition, you will: Develop and manage analytical models and dashboards to report on recruitment, engagement, retention, and other workforce metrics Present data-driven recommendations to support leadership decisions on People programs and policies Design reporting solutions and build workflow automations that address business challenges and opportunities by collaborating with HR, Finance, Legal and Operations partners Implement data cleaning, normalization, and validation processes to ensure reporting accuracy and integrity Create presentations and reports for executives, managers, and staff, translating complex analyses into practical insights Act as a key point of contact for internal and external auditors during audits, providing necessary documentation, explanations, and evidence for HR-related controls. Handle sensitive employee data in alignment with company privacy and compliance standards We’re looking for someone who has: Bachelor’s degree in a quantitative field (Statistics, Data Science, Business Analytics, Finance, Computer Science, Economics, Math) or related discipline 3+ years building data models and dashboards in a people / talent analytics, compensation, finance, business operations or similar business analytics environment Proficiency in Google Sheets / Excel, Google Scripts / VBA, Qualtrics or related dashboard tools High attention to detail and data integrity Strong storytelling and presentation skills using data visualizations Strong communication skills and the ability to collaborate cross-functionally with stakeholders at all organizational levels Nice to have Prior work in high-growth technology or software organizations Experience managing or integrating data across multiple HR platforms Familiarity with data privacy, workforce compliance, and reporting regulatory requirements Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401 ... (truncated, view full listing at source)
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