LinkedIn

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AnalyticsEngineerPeopleData

$116–193k Sunnyvale, California, United States; Mountain View, California, United States; San Francisco, California, United States; New York, New York, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“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.

Professional Network
Problems you'll solve

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

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