Staff Forecasting & Data Analyst

Company 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.

Job Description

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.
  
  
  

Qualifications

Basic Qualifications: 

• Bachelor's degree in Engineering, Business, Statistics, Operations Management, Economics, or related field.
• 8+ years of experience in forecasting, workforce planning, or predictive analytics within large-scale, global operations.
• Expertise in forecast modeling techniques (e.g., time-series, regression, scenario simulation) using SQL, Python, R, or similar tools.
• Background in business fundamentals with the ability to connect data insights to strategic decisions and operational levers.
• Proven ability to simplify complex systems, identify leading indicators, and communicate implications clearly to executives.
• Experience collaborating across Product, Finance, Data Science, and Operations organizations.
• Exceptional communication and storytelling skills with an ability to influence at senior levels.
• A passion for efficiency, scalability, and sustainable growth.
• Good communication skills to collaborate with cross-functional teams and present business insights effectively.
• Detail-oriented and organized, with the ability to handle large datasets and manage multiple priorities and tasks in a fast-paced environment.
• Ability to challenge incoming requests, value, and impact, driving data-driven decisions.
• Flexibility and adaptability to respond to changing business needs and priorities.
  
  
  

Preferred Qualifications:

• Strong predictive analytical and strategic thinking skills with experience in long-range forecasting and scenario planning.
• Ability to translate complex data into clear business insights and executive recommendations.
• Skilled at identifying trends, risks, and opportunities that inform workforce and investment strategies
• Proficient in SQL, Excel, and Power BI, Tableau; working knowledge of Python or R for statistical analysis and automation.
• 5+ years of experience in forecasting methodologies (time-series, regression, simulation).
• Comfortable working with large data sets and partnering with Data Science and Engineering on model design.
• Excellent communication, influence, and storytelling skills for senior audiences.
• Passion for simplification, scalability, and continuous improvement.
• Kafka
• GitHub Knowledge
• Experience with workforce management software and tools
• Knowledge of workforce management principles, operations, and industry best practices.
  
  
  

Suggested Skills:

• Data Analytics & Automation
• Statistical & Quantitative Analysis
• Forecasting Modeling & Techniques
• Communication & Storytelling
• Decision Support & Problem Solving
  
  
  

You will Benefit from our Culture:

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

Additional Information

India Disability Policy

LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

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: https://legal.linkedin.com/candidate-portal.