Note: The job is a remote job and is open to candidates in USA. LinkedIn is seeking experienced professionals in advanced people analytics and workforce analytics to participate in a project for their AI Marketplace. The role involves completing a recorded AI-led video interview focusing on real-world experience in advanced workforce analytics, predictive modeling, and delivering actionable insights.

Responsibilities

• You’ll complete a ~ 30-minute recorded AI-led video interview where you explain how you actually do your work in practice
• This interview will focus on:
• Scoping ambiguous or strategic workforce questions and translating them into defensible analytical approaches
• Joining data across HR systems, preparing datasets, creating features, and handling data-quality issues
• Running advanced or predictive analyses, validating models, monitoring drift, and managing bias or proxy-variable risk
• Delivering actionable insights to stakeholders while communicating uncertainty, limitations, and ethical boundaries
• You will be asked to explain workflows specifically within: advanced workforce analytics, predictive modeling, ambiguous stakeholder request scoping, analytical delivery, and decision enablement workflows

Skills

• 8+ years in advanced people analytics, HR data science, workforce analytics consulting, organisational analytics, or talent analytics
• Direct, hands-on experience in advanced workforce analytics, predictive modelling, ambiguous stakeholder request scoping, analytical delivery, and decision enablement workflows
• Experience making or influencing decisions related to method selection, dataset assembly, model validation, bias/proxy-variable risk, stakeholder actionability, uncertainty communication, and prioritisation of ad-hoc requests
• Familiarity with tools such as: SQL, Python, R, Snowflake, Databricks, Tableau, Power BI, Workday, Visier, One Model, Qualtrics, Excel
• Strong ability to clearly explain workflows, decisions, and reasoning
• Experience owning or directly executing these workflows in a real production environment
• Experience working cross-functionally with HR, legal, payroll, finance, HRIS, business leaders, people managers, or compensation committee stakeholders as relevant to the workflow

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