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 can be based in Chicago, Mountain View, San Francisco, Carpinteria, New York, Detroit, Washington DC, Omaha, or remote within the US. 

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options, meaning you can work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together, or this role can be performed remotely in most locations in the United States. 

This role will be part of the People Analytics team within the Global Talent Organization (GTO) at LinkedIn. People Analytics analyzes current and prospective employee data to enable agility through better, faster talent decisions. This is a full-time role. 

Responsibilities:    

• Proven track record strategizing and coordinating the development of enterprise level data program heavily focused on self-service and multi-persona management. 

• Ability to translate current and future data needs in a technology roadmap. 

• Influence and collaborate on the global strategy for People Reporting at the enterprise level and establish scalable solutions to support end users 

• Ability to develop strong partnerships within the organization.   

• Coordinate the overall design of the ETL process, driving clean and actionable requirements while working with our Talent Engineering teams. 

• Stay relevant in technology trends that might be used to resolve complex business problems. 

• Build an architecture and monitoring mechanism in partnership with data governance across the data reporting landscape to have an always on sensing and response methodologies established 

• Negotiation skills to manage expectations with stakeholders at multiple levels and business functions within the organization.  

• Ability to design robust and enterprise level data models intended to address specific issues. 

• Deployment management – Ideate & establish framework for a continuous integration and deployment enabling optimal speed to market, ensure all prerequisites are met for any deployment in production.   

• Establish an operational model to prioritize and support ad-hoc data requests 

• Serve as the primary business owner that works with our Talent Engineering team to build, maintain and improve our people data tools and products 

• Bring critical thinking & problem-solving skills to a range of challenging problems.  

• Experience with managing development teams with varied skill sets and geographies.  

Basic Qualifications:     

• BA/BS degree or equivalent degree 

• 10+ years of IT/analytics experience  

• 5+ years of database design  

• 5+ years of work experience managing stakeholders and engineering teams.  

• 5+ years of work experience in a role that involves the generation of technology roadmap (that includes technical and capabilities components) 

• Experience driving Data Governance programs at scale 

Preferred Qualifications:     

• MBA or equivalent degree  

• Strong proficiency in SQL and ETL processes 

• 5+ years in multi-dimensional design  

• Experience in enterprise integration, primarily focused on HR systems (Visier, Workday, SmartRecruiters, CSOD, etc) 

• High proficiency in T-SQL  

• Coordinated the implementation of Data Science enterprise level programs.  

Suggested Skills: 

• Stakeholder Management 

• Data Analytics 

• Project Management 

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $137,000 to $224,000. 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

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: EEO Statement_2020 - Signed.pdf.

Please reference the following information for more information: https://legal.linkedin.com/content/dam/legal/LinkedIn_EEO_Statement_2020.pdf.

Please reference the following information for more information:  https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and

 https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf  for more information.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.

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.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance ​

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement ​

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates ​

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.