91ºÚÁϱ¬ÁÏ

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Talent Acquisition People Analytics Lead

Category Data Location San Diego, California; Mountain View, California Job ID 18707

Company Overview

91ºÚÁϱ¬ÁÏ is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We are seeking an experienced People Analytics Lead to join our People Data & Analytics team at 91ºÚÁϱ¬ÁÏ. Our team partners closely with 91ºÚÁϱ¬ÁÏ’s HR leaders, COEs, and business partners to deliver data-driven insights that shape our people strategies and elevate decision-making across the company.

We are looking for a strong people analyst to lead Professional Talent Acquisition Analytics strategy and data workstreams, including AI enabled hiring plan analysis, forecasting, funnel insights, recruiter effectiveness, reporting, dashboards, and data governance. This role is critical to supporting critical P&P priorities related to the Workforce of the Future including: Organization Effectiveness, Compensation Analysis, Site Strategy and Workforce Planning. This individual will deliver actionable insights that strengthen TA’s ability to meet business hiring needs. It's critical candidates have a strategic understanding of the talent data ecosystem in order to enable 91ºÚÁϱ¬ÁÏ to deliver on operational excellence and hiring outcomes.

This role is critical to supporting 91ºÚÁϱ¬ÁÏ’s ongoing transformation of its talent acquisition ecosystem — ensuring that our hiring processes are scalable, insight-driven, and aligned to our mission of powering prosperity for our people and the company.


Responsibilities


  • Lead cross-functional TA analytics workstreams focused on hiring forecasting, funnel insights, recruiter productivity, reporting, dashboards, and data governance.

  • Develop deep understanding of Professional TA data structures, recruiting systems, funnel metrics, hiring forecast models, and integrations with data lake tables and marts.

  • Drive analysis across hiring pipelines to identify trends, friction points, and opportunities to improve hiring outcomes.

  • Drive requirements for scaled solutions including automated AI insights, dashboards and reporting solutions that support TA leadership, recruiters, PART, Finance, and business partners.

  • Partner with platform and engineering teams to ensure TA data quality, cleanliness, and readiness for AI and advanced analytics.

  • Identify and scope advanced analytics and AI use cases within Talent Acquisition to elevate insights and predictive capabilities.

  • Collaborate across TA, PART, Finance, and other stakeholders to share knowledge and build scalable, enterprise-ready solutions.


Qualifications

  • Bachelor’s degree in Data Analytics, Business, Human Resources, Industrial/Organizational Psychology, or a related field.

  • 5+ years of experience in people analytics, HR analytics, or related people data role.

  • Demonstrated expertise in building and interpreting hiring models, including predictive or forecast models.

  • Proven experience partnering closely with Talent Acquisition leadership as well as leading cross-functional analytics initiatives involving multiple stakeholders (HR, technology, and business).

  • Ability to synthesize complex data into clear insights and recommendations for senior leaders.

  • Exceptional attention to detail and a commitment to data integrity, governance, and storytelling.

  • Experience working with Avature or other related ATS systems.

  • Exposure to data governance frameworks or experience establishing data quality standards.

  • Strong communication and stakeholder management skills, with a consultative approach to influencing decisions.

  • Passion for enabling data-driven, equitable people processes that foster growth and inclusion.


91ºÚÁϱ¬ÁÏ provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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 ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, 91ºÚÁϱ¬ÁÏ conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: 



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Ercan Kaynakca Staff Data Crypto Analyst