Lead People Analytics Analyst

About Tekion:

Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.

Job Description: Lead People Analytics Analyst

Job Level: Professional Level 4

Department: People

Summary:

Leads advanced people analytics initiatives that drive strategic decision-making across the employee lifecycle. This role combines deep analytical expertise with business acumen to deliver insights, forecast trends, and influence People strategies related to talent, engagement, retention, and organizational effectiveness.

Duties and Responsibilities:

• ​Designs and executes advanced analytics projects related to workforce planning, talent management, diversity & inclusion, and organizational health.
• ​Utilizes sophisticated data analysis techniques to gain deeper insights into workforce trends, improve HR practices, and inform strategic decision-making.
• ​Collaborates with senior leaders in People, Finance, and other departments to deliver data-driven insights that support strategic planning and people initiatives.
• ​Builds predictive models and dashboards that track key talent metrics such as attrition, engagement, hiring effectiveness, and promotion equity.
• ​Moves beyond basic reporting to identify patterns, predict outcomes, and recommend solutions to improve areas like recruitment, retention, engagement, and DEI.
• ​Translates complex data into compelling visualizations and narratives that inform executive decision-making.
• ​Ensures data accuracy, integrity, and governance across all people data sources and reporting platforms.
• ​Partners with HRIS and IT teams to optimize data pipelines, automation, and infrastructure for scalable reporting.
• ​Mentors other team members and contributes to the development of best practices, tools, and knowledge-sharing
• ​Job Complexity: Leads highly complex, cross-functional analytics projects with broad organizational impact. Anticipates workforce trends and builds solutions to address emerging needs.
• ​Required Supervision: Operates independently with strategic alignment. Regularly advises senior HR and business leaders on data-informed actions.
• ​Expertise: Deep expertise in people analytics, workforce modelling, and storytelling with data. Recognized as a subject-matter expert in connecting talent data to business outcomes.

Qualifications:

• ​7–8 years of experience in data analytics, business intelligence, or people analytics
• ​5+ years working directly with HR or workforce-related datasets
• ​Bachelor’s or advanced degree in Data Analytics, Statistics, Business, Economics, or a related field preferred
• ​Advanced proficiency in SQL, data visualization tools (e.g., Tableau, Power BI, Looker), and Excel
• ​Experience with predictive modelling, statistical analysis, and HR tech ecosystems (e.g., Workday, OneModel, Visier)
• ​Programming skills in SQL, Python or similar strongly preferred.
• ​Strong communication skills and the ability to influence executive stakeholders with data-driven insights

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.

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