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Sr. Analytics Solutions Analyst

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: LinkedIn
Full Time position
Listed on 2026-07-30
Job specializations:
  • IT/Tech
    Data Analyst, IT Business Analyst, Business Intelligence, Data Engineering
Salary/Wage Range or Industry Benchmark: 101000 - 164000 USD Yearly USD 101000.00 164000.00 YEAR
Job Description & How to Apply Below
Position: Sr. People Analytics Solutions Analyst

Linked In 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

This role will be based in Sunnyvale/Mountain View (Headquarters),Bellevue, Chicago, Carpinteria, Detroit, New York City, Omaha, Sunnyvale, San Francisco, or Washington,

D.C

At Linked In , our approach to flexible work is centered on trust andoptimizedfor 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 Linked In office on select days, asdeterminedby the business needs of the team.

This role will be part of the People Analytics organization within the Global Talent Organization (GTO) ple Analytics enables better, faster, and more strategic workforce decisions through trusted data, scalable insights, and modern analytics platforms.

This position sits within the Programs & Projects team and reports to the Manager, Technical Programs & Projects. The team delivers high-priority, cross-functional data and technology initiatives across People Analytics, with a portfolio that spans workforce transformation and restructuring programs, regulatory initiatives such as EU Pay Transparency, performance-related programs, workforce planning, reporting modernization, data reconciliation and validation, workflow automation, and the rapid development of tactical data solutions.

We are seeking a technically strong, execution-oriented senior individual contributor who can independently translate ambiguous business requirements into practical, well-built data and technology solutions. This is a hands-on delivery role: the ideal candidate is comfortable moving from problem definition through solution design, build, testing, and implementation—developing SQL, transformation logic, analytical datasets, dashboards, and automation directly rather than only coordinating the work of others.

The successful candidate will combine data analysis, SQL development, data modeling, reporting and business intelligence development, and workflow automation with strong solution design, technical project execution, cross-functional stakeholder coordination, and Agile delivery skills. They can quickly evaluate a business problem, determine an appropriate technical approach, build or configure the solution, test and reconcile it, document it, and support implementation.

The Programs & Projects team works closely with—but is distinct from—Linked In's People Data Governance team, which owns enterprise governance strategy, data ownership and stewardship frameworks, metadata management, and data quality strategy. This role follows and operationalizes established governance, privacy, and security requirements as part of project delivery, and partners with the Data Governance team where initiatives intersect.

Responsibilities
  • Deliver multiple People Analytics data, technology, automation, and reporting projects end to end—from requirements and solution design through build, testing, and implementation.
  • Translate ambiguous business and regulatory requirements into practical, scalable technical solutions.
  • Develop SQL queries, transformation logic, analytical datasets, workflows, reports, dashboards, and automation solutions.
  • Perform data profiling, validation, reconciliation, testing, and defect resolution to ensure solutions are accurate, reliable, and audit-ready.
  • Support high-visibility, mission-critical HR programs—including workforce transformation initiatives and regulatory programs such as EU Pay Transparency—by delivering data extraction, processing and transformation, reporting, and automation solutions that adapt to fast-changing data inputs and outputs while handling…
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