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Jobs

Associate, People Analytics

  • 10 Feb, 2026
  • 0

Company: Mindtickle 


Who we are:

Mindtickle is the market-leading revenue productivity platform that combines on-the-job learning and deal execution to get more revenue per rep. Mindtickle is recognized as a market leader by top industry analysts and is ranked by G2 as the #1 sales onboarding and training product. We’re honoured to be recognized as a Leader in the first-ever Forrester Wave™: Revenue Enablement Platforms, Q3 2024!

Job Snapshot:

Are you passionate about the intersection of people, data, and technology? Are you excited to build a long-term career in the evolving field of People Analytics? We are looking for a curious, analytical, and driven Associate, People Analytics to join our People Success team.

This role offers an opportunity to make a sustained impact by strengthening and scaling our People Analytics function. You will play a critical role across two key areas: first, by developing deep expertise in our core HR technology stack to unlock its full potential, and second, by transforming people data into meaningful metrics and insights that inform decision-making across the organization.

This position is ideal for someone with a strong understanding of HR processes, a solid analytical mindset, and the ability to translate data into clear, actionable insights in partnership with HR and business stakeholders.

What’s in it for you?

  • System Mastery and Administration: Own deep expertise across the core HRIS and ATS, enabling confident system ownership, accurate decision-making, and effective support for business and HR stakeholders.
  • Data Integrity and Management: Ensure employee data is accurate, consistent, and trustworthy, forming a reliable foundation for reporting, analytics, and strategic people decisions.
  • Reporting and Dashboard Development: Deliver clear, insightful, and business-ready dashboards that surface key people metrics and enable leaders to monitor trends, risks, and outcomes at a glance.
  • Process Optimisation and Automation: Improve efficiency, scalability, and consistency of HR operations by reducing manual effort and enabling smoother end-to-end people processes.
  • Advanced Analytics and Insights: Generate meaningful insights in partnership with HRBPs / COEs that inform leadership decisions and influence workforce, performance, and organisational outcomes.
  • Strategic Project Support: Contribute to high-impact people initiatives by providing data-backed inputs in partnership with HR Business Partners and COEs, that support workforce planning, compensation strategy, and performance reporting.

We’d love to hear from you, if you:

  • Analytical Acumen: Demonstrated analytical skills with a capacity for critical thinking, pattern recognition, and logical problem-solving.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex, data-driven concepts to non-technical stakeholders.
  • Data Manipulation and Visualization: High proficiency in Microsoft Excel or Google Sheets is required. Exposure to data visualization tools such as Power BI or Tableau, gained through academic or personal projects, is also necessary.
  • Human Resources Knowledge: A strong foundational understanding of the end-to-end employee lifecycle and a keen interest in applying data-driven approaches to HR processes.
  • Organizational and Proactive Mindset: Meticulous attention to detail, strong organizational abilities, and a proactive approach to identifying learning opportunities and suggesting improvements.

Educational Background:
Master’s degree or equivalent practical experience in Data Analytics, Human Resources, Business Administration, Computer Science, or a related discipline.

Preferred Qualifications:
Exposure to complex data analysis, visualization, or predictive analytics.
Experience creating dashboards or reports in an academic, professional or personal capacity.
Familiarity with any Human Resources Information System (HRIS) or Applicant Tracking System (ATS) is valued.

Apply Link: https://jobs.lever.co/mindtickle/5e8963dc-4ac0-4853-b238-9d81d74b4cd8/apply

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