HR Data Engineer People Analytics

Company Description

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.

Job Description

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.

This role can be based in our Sunnyvale, Mountain View, San Francisco or New York offices.

We are looking for an HR Data Engineer to manage and maintain our semantic layer and data pipelines, while ensuring data quality, integrity, and accuracy. You will work cross-functionally with engineering, data governance, and stakeholder teams to advance our data and reporting solutions. You will leverage our data to identify key insights and create operational efficiencies, as well as produce accurate and meaningful analysis to drive business decisions. Your work will directly influence workforce planning, talent strategy, and executive decision-making.

To be successful in this role you need to be highly analytical, with a strong intellectual curiosity and be comfortable responding to and structuring ambiguous requests. You must be able to prioritize multiple tasks in a fast-paced environment. Your stakeholders will not always know what is possible, so it is important that you ask effective questions to get clarity in addition to managing expectations on what you can deliver. Exceptional attention to detail, strong analytical and development skills, proactive communication skills, and an ability to meet tight deadlines will be critical for success in this role.

Responsibilities :

• Contribute to the design of the ETL process, driving clean and actionable requirements, and translate business logic into reusable and governed data assets while working with our Talent Engineering teams.
• Support, maintain, and enhance our existing HR Data Warehouse, ensuring it scales with evolving business needs and systems changes
• Build an architecture and monitoring mechanism in partnership with data governance across the data reporting landscape to have always-on sensing and response methodologies established, and
• Proven track record of developing enterprise-level data programs heavily focused on self-service and multi-persona management.
• Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations.
• Use SQL to extract, clean, and organize data from multiple HR systems, ensuring structured, accurate, and governed reporting, dashboards, and analytics products.
• Conduct complex data analysis, develop actionable insights, communicate findings to stakeholders, and utilize data visualization tools to support function strategy and decision-making.
• Influence and collaborate on the global strategy for People Reporting at the enterprise level and establish scalable solutions to support end users.
• Bring critical thinking & problem-solving skills to a range of challenging problems.
• Stay relevant in technology trends that might be used to resolve complex business problems.
• Advocate for and implement best practices in data engineering, testing, and documentation.

Qualifications

Basic Qualifications :

Preferred Qualifications :

Suggested Skills :

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $116,000 to $193,000. 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.

Additional Information

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.

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 :

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.