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À propos
Lead complex TA analytics projects and provide consulting support to stakeholders across Field TA, Recruitment Delivery, Sourcing, TA Operations, and Recruitment Marketing. Deliver insights that assess hiring funnel performance, recruitment effectiveness, quality of hire, market intelligence, pipeline health, and TA operational efficiency. Build strong relationships with TA leaders to understand business needs and provide insights through dashboards, reports, briefings, and executive‑ready storytelling. Leverage Workday, TA platforms, Databricks/People Analytics data layers, and direct‑query methods (SQL, views) to answer strategic business questions and build reusable data assets. Partner closely with TA Solutions Enablement & People Analytics Reporting Team to improve reporting, data structures, system workflows, and data captured across TA platforms. Develop actionable recommendations and support leaders through implementation and adoption. Translate business strategy into TA measurement architectures. Proactively identify gaps in TA processes, metrics, and data structures—and design scalable analytics solutions and operating rhythms that address them. Influence outcomes by driving alignment, leading stakeholders through change, and championing data‑driven improvements across a complex, matrixed environment. Requirements
5+ years of client facing People Analytics experience, with significant emphasis on TA technology, processes and analytics. Strong communication and data storytelling skills, with the ability to influence leadership through insights and recommendations. Deep understanding of TA data and processes, including requisition/candidate management, sourcing analytics, funnel analysis, recruitment marketing, quality of hire, and labor market intelligence. Strong analytical capability with experience integrating multiple internal and external data sources to inform strategic talent decisions. Experience building reports and dashboards using data extracted from Workday; familiarity with Workday TA data structures is required. Knowledge of inferential statistics (correlation, regression) and how to apply them to business problems. Bachelor’s degree in a quantitative field (Statistics, Mathematics, I/O Psychology) or Human Resources; advanced degrees are a plus. Experience with Power BI, SQL, or Python for analysis and visualization is preferred. Compensation
Salary range: $105,600 – $140,700. Bonus potential is available through an incentive pay program. Benefits
GM offers a comprehensive benefits package including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance, employee assistance program, and vehicle discounts. Equal Employment Opportunity
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but genuinely fosters inclusion and belonging. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
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Compétences linguistiques
- English
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