Sr. People Analytics Partner – TA

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

This role will be based in San Francisco, Sunnyvale, Mountain View, or Chicago offices. 

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

The Talent Analytics Partner team within LinkedIn’s Global Talent Organization (GTO) is at the forefront of using data to shape the company’s talent strategy. We empower business leaders across Talent Acquisition, Talent Management, and Talent Development to make informed decisions through insights that drive key talent outcomes. As we grow our team, we’re seeking a Staff People Analytics Analyst to be a strategic partner delivering insights that drive impact across the Talent organization with a focus on Talent Acquisition.

As a Staff Analyst on the People Analytics Partner Team, you will serve as a strategic partner to Talent Acquisition. You’ll collaborate closely with leadership to understand their business priorities and inform decision-making through insights. Your work will include developing an analytics roadmap, conducting deep-dive analyses and research, combining internal and external data to tell a comprehensive narrative, and help improve data processes and governance in partnership with our Core People Analytics team. This role blends hands-on analytics, stakeholder collaboration, and strategic thinking to help Talent leaders scale their impact through insights.

Responsibilities:

• Strategic Partnership: Act as a trusted advisor to Talent stakeholders by understanding their goals, aligning on key metrics, and delivering actionable insights that influence decision-making.
• Advanced Analysis: Design and execute deep-dive analyses, integrating internal data and external insights to support Talent initiatives and uncover trends and opportunities.
• Reporting & Tooling: Build interim dashboards and reports using tools like Visier, SQL, and R/Python to meet immediate needs while scalable solutions are developed.
• Data Quality & Collaboration: Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights.
• Enablement & Communication: Support organizational change by translating complex data into clear narratives and enabling adoption of new tools, metrics, and reporting processes.

Basic Qualifications:

• 4+ years of work experience in a role that involves converting data into actionable insights for business decision making
• Bachelor's degree in Business, Social Sciences (e.g., Psychology), Economics, Mathematics, Engineering, or other quantitative field, or related equivalent experience
• Experience using Excel, PowerPoint, and SQL

Preferred Qualifications:    

• Master’s degree (M.S. in Industrial/Organizational Psychology or advanced degree in a related field). 
• Highly analytical: Experience decomposing and solving real world business problems, ideally building/using advanced analytical models. Willingness to learn advanced statistics (i.e. t-test, regression, factor analysis) and use statistical software (R, SAS, Python, etc.)
• Applied Research: Experience conducting research in an organization or consulting environment, including executing mixed-methods research (combining qualitative and quantitative methods)
• Written communication: Experience communicating technical results to technical and non-technical audiences. Able to credibly and compellingly convey ideas and recommendations in writing to senior leadership
• Change Management Expertise: Experience designing and implementing change management strategies that translate survey insights into organizational improvements. Demonstrated ability to influence stakeholders, overcome resistance, and drive adoption of new initiatives based on employee feedback data.
• Proactive and resourceful: Independently capable of seeking information, solving conceptual problems, corralling resources, and delivering results in challenging situations

Suggested Skills:

• Strategic Partnership
• Data Analysis & Statistical Modeling
• Strategic Thinking
• Cross Functional Collaboration
• Research & Data Integration

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $112,000 to $185,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
 

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

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