Analytics Engineer - People Data

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. Your work will directly influence workforce planning, talent strategy, and executive decision‑making. 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. Prevent track record of developing enterprise‑level data programs heavily focused on self‑service and multi‑person 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. 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 and 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. Basic Qualifications BA/BS 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. Preferred Qualifications 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. Suggested Skills Design and Systems Thinking Problem Solving Autonomy, Creativity, and Discretion 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. 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. 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 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: Reasonable Accommodation 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 and describe the specific accommodation requested for a disability‑related limitation. Fill out an accommodation request here: #J-18808-Ljbffr LinkedIn