Senior Associate, People Analytics

  • Full-time
  • Career Track & Grade: IC3/8
  • Department: Human Resources & Recruiting

Company Description

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology. 

Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. 

Job Description

Senior Associate, People Analytics

We are seeking a highly strategic, driven, and analytical Senior Associate to join our People Analytics team.  LinkedIn’s People Analytics team uses data analysis, consulting, and research expertise to help drive the company’s talent strategy and operations. Our team is uniquely positioned to redefine the world of HR by leveraging data from the world’s largest professional network to create innovative new models for hiring, talent management, and learning & development. Our work not only creates impact for LinkedIn internally but also for the world of talent by influencing our product roadmap for the talent domain.  

The successful candidate will help us transform the way data is used to optimize our talent strategy including talent acquisition, retention, organizational development, and diversity. We are looking for someone who can partner with our HR leadership to tackle high priority strategic talent questions for the company.  

Responsibilities include: 

  • Bringing critical thinking and excellent problem-solving skills to a range of challenging business questions 

  • Translating talent and business issues into questions and hypotheses that can be tested with data 

  • Conducting in-depth data analysis and modeling 

  • Communicating insights to key stakeholders and influencing teams to take action based on your recommendations 

  • Performing data driven experiments and operating in an agile environment 

  • Collaborating across teams, geographies, and organizational levels to implement solutions that have a measurable business impact

Qualifications

Basic qualifications:  

  • Undergraduate degree in business, economics, mathematics, statistics, or any other related applied science or quantitative major or equivalent  

  • 2+ years of work experience at a management consulting firm, investment bank, private equity, technology, applied research company or related industry 

  • On track to complete graduate degree by August 2021 

Preferred qualifications:  

  • Graduate degree (MBA, or Masters Degree in I/O Psychology, HR, statistics or social science) 

  • Deeply analytical and can translate ambiguous problems into structured questions and hypotheses; takes pride in identifying key drivers and creating robust business cases 

  • Experience in quantitative research, with basic inferential statistics and research methods (correlations, regressions, t-tests, quantitative and/or qualitative research)  

  • Experience in survey design, development, analysis, and reporting  

  • Experience with SQL/relational databases and business intelligence tools (e.g., Tableau)  

  • Experience influencing and leading without authority; great listener and show empathy for your partners and clients 

  • Thrives in a team environment and develops authentic relationships with your colleagues and business partners 

  • Able and eager to learn new tools and skills without direction 

  • Some experience in data science, data modeling 

  • Experience and/or passion for technology, HR, Talent Acquisition, or Learning & Development 

Additional Information

All your information will be kept confidential according to EEO guidelines.

Equal Opportunity Statement

LinkedIn is committed to diversity in its workforce and is 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. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://lnkd.in/equalemploymentopportunity2017. Please reference the following information for more information: http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. ​

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