Staff Forecasting & Data Analyst

As a Staff Forecasting & Data Analyst, you will lead the analytical and modeling efforts that inform long-term workforce strategy and investment decisions. This role sits at the intersection of data science, business strategy, and operational planning, blending quantitative rigor with strategic foresight to align the deployment of human and financial resources with the Trust’s competitive strategy, efficiency plans, and budget.

You’ll partner cross-functionally with Operations, Product, Data Science, Finance, and Engineering to design forecasting frameworks that anticipate change—whether driven by product innovation, policy shifts, or market dynamics—and translate those insights into actionable workforce strategies.

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.

Responsibilities:

• Own long-range forecasting models that project volume, capacity, and productivity across Trust lines of business.Maintain quarterly cross-correlation analysis tied to company growth and cross-functional initiatives.
• Analyze historical and emerging trends in product, policy, and user behavior to anticipate operational impact.
• Develop strategic scenarios that inform resource allocation, efficiency targets, and workforce investments.
• Partner with cross-functional leaders to align planning assumptions with business priorities, budget constraints, and growth opportunities.
• Translate data into strategy: distill complex modeling outcomes into clear, actionable recommendations for executives.
• Design scalable data infrastructure and forecasting tools in partnership with Data Science and Engineering.
• Automate data integration and updates in operational systems (e.g., NICE IEX, internal data tables).
• Monitor guardrail metrics (utilization, forecast accuracy, productivity) to ensure sustainable operational health and early detection of risk.
• Mentor analysts across the Resource Planning team, uplifting the analytical bar and fostering a culture of strategic thinking and data excellence.