Professional Network
AnalyticsEngineer–PeopleData
Neural analysis suggests this role is
optimal for mid candidates.
“Analytics Engineer – People Data at LinkedIn. Skills: Analytics Engineering, People Data, SQL, data modeling, semantic layer development, data pipelines, data quality, data visualization. manage and maintain our semantic layer and data pipelines. ensuring data quality, integrity, and accuracy”
What You'll Achieve.
influence workforce planning, talent strategy, and executive decision-making; create operational efficiencies; drive business decisions
Industry & Context.
solving ambiguous challenges; Bring critical thinking & problem-solving skills to a range of challenging problems.
What They're Looking For.
Must Have
BAS degree or equivalent degree in Computer Science, Information Technology, Information Systems, or a related field., 5+ years of experience as an Analytics Engineer, Data Engineer or Analyst / Consultant with an engineering background., 5+ years of database design and semantic layer development., 5+ years of experience and advanced proficiency in SQL, including data modeling, transformation, and query optimization., 5+ years of experience with data visualization tools (e. g. , Power BI, Tableau, etc. )., 1+ years of experience with Python or scripting languages.
Nice to Have
6+ years of work experience managing stakeholders and engineering teams., Familiarity with tools including ALM Toolkit, Tabular Editor, SQL Server Management Studio (SSMS), etc., Experience in enterprise integration, primarily focused on HR systems and People Analytics tools (Visier, Workday, SmartRecruiters, etc. ), Visier preferred., Experience with cloud platforms (e. g. , AWS, Azure, GCP) and data warehousing solutions (Databricks)., Experience and understanding of ETL/ELT frameworks, data validation, and reconciliation techniques., Experience building and supporting data warehouses specifically for HR and People Analytics domains.
What You'll Do.
manage and maintain our semantic layer and data pipelines
ensuring data quality
advance our data and reporting solutions
leverage our data to identify key insights and create operational efficiencies
produce accurate and meaningful analysis to drive business decisions
Contribute to the design of the ETL process
driving clean and actionable requirements
translate business logic into reusable and governed data assets
and enhance our existing HR Data Warehouse
ensuring it scales with evolving business needs and systems changes
Maintain comprehensive technical documentation and data dictionaries for warehouse structures
and organize data from multiple HR systems
and governed reporting
and analytics products.
Influence and collaborate on the global strategy for People Reporting at the enterprise level
establish scalable solutions to support end users.
How You'll Work.
Team & Collaboration
work cross-functionally with engineering, data governance, and business stakeholder teams; working with our Talent Engineering teams; managing stakeholders and engineering teams
Communication Scope
proactive communication skills
Process & Methodology
prioritize multiple tasks in a fast-paced environment, managing expectations on what you can deliver
Full Job 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. 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 Analytics Engineer with experience working with HR – People data, 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 business 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 solving ambiguous challenges. 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 delive
Applying for this Analytics Engineer – People Data role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about LinkedIn?
Real rants from real employees. Read before you apply.