Senior Analyst, People Analytics

With data and analytics at the center of our people strategy, we are seeking a People Analytics Consultant to join our People Analytics team.

In this role, you will support the delivery of workforce insights across the employee lifecycle by analyzing people data, developing dashboards, and identifying trends that help inform business decisions. You will partner with stakeholders across HR, Talent Acquisition, Finance, IT, and Legal to deliver accurate, timely, and actionable analytics.

This role is ideal for an analytical professional who enjoys working with data, solving business problems, and applying modern analytics techniques to improve workforce outcomes.

Essential Duties and Responsibilities

People Analytics & Reporting

Analyze employee lifecycle data, including hiring, onboarding, engagement, performance, promotions, compensation, headcount, and attrition.

Develop and maintain dashboards, scorecards, and recurring reports that provide meaningful workforce insights.

Respond to ad hoc analytics requests and translate business questions into data-driven recommendations.

Partner with People Business Partners and HR Centers of Excellence to support workforce planning, talent reviews, and organizational health discussions.

Validate data accuracy and collaborate with HR Technology and data teams to improve data quality and reporting consistency.

Present findings through clear visualizations and concise business summaries.

Workforce Analytics

Perform statistical analyses to identify workforce trends, risks, and opportunities.

Support the development and maintenance of predictive models related to workforce planning, attrition, and employee lifecycle analytics.

Assist in workforce forecasting and organizational reporting by leveraging quantitative analysis.

Recommend opportunities to improve reporting automation and analytics processes.

Contribute to continuous improvements in People Analytics methodologies and reporting practices.

AI & Employee Listening Analytics

Analyze employee survey data and feedback to identify trends, themes, and opportunities for improvement.

Apply Natural Language Processing (NLP) techniques, such as sentiment analysis and text analytics, to summarize employee feedback.

Support the evaluation and implementation of AI-enabled analytics capabilities that improve reporting efficiency and insight generation.

Contribute to automated reporting and narrative insights using Generative AI tools where appropriate.

Qualifications

Required

Bachelor's degree in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, Human Resources, or a related field, or an equivalent combination of education and experience.

3–5 years of experience in People Analytics, HR Analytics, Business Analytics, Data Analytics, or a related field.

Skills & Experience

Advanced proficiency in Tableau, Snowflake, Excel, SQL, and other enterprise HR platforms e.g. Workday, ServiceNow, Greenhouse.

Experience using Python or R for data analysis is preferred.

Working knowledge of statistical techniques, including regression, forecasting, segmentation, and trend analysis.

Experience analyzing large datasets and ensuring data accuracy and integrity.

Strong analytical and problem-solving skills with the ability to communicate findings clearly.

Experience developing dashboards and data visualizations for business audiences.

Ability to partner effectively with HR stakeholders and cross-functional teams.

Familiarity with Natural Language Processing (NLP), Generative AI, or machine learning concepts is a plus.

Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.

Success in This Role

Successful candidates will:

Deliver accurate and timely workforce analytics that support business decisions.

Build dashboards and reports that improve visibility into key people metrics.

Apply analytical techniques to identify trends and recommend improvements.

Partner effectively with HR and business stakeholders to answer workforce questions.

Continuously improve reporting, data quality, and analytics processes while expanding technical capabilities.

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