Senior Forecasting Business Analyst job opportunity at LinkedIn.

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Date2026-05-12T19:01:13.636Z bot
LinkedIn Senior Forecasting Business Analyst
Experience: General
Pattern: Full-time
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degreeGeneral
loacation Omaha, Nebraska, United States
loacation Omaha, Nebrask..........United States
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Job DescriptionAt 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 will be based in LinkedIn’s Omaha, NE office. The Senior Forecasting Analyst for Trust Review Operations (TRO) will support the budget planning, forecasting, and analysis processes, providing insights and recommendations to drive Trust Operation’s financial performance and strategic decisions. Candidates will have a strong understand of and ability to apply analytical principles such as correlation analysis, cohort analysis, & predictive modeling Key Responsibilities: • Analyze large datasets to identify trends, patterns, and insights to drive adjustments to models, develop reporting, identify opportunities, and provide recommendations to enable decision making. • Use statistical techniques to develop, implement, and maintain predictive models to forecast operational and financial performance. • Monitor model performance and drive continuous improvement to models based on changes in trends, products, business decisions, and feedback. • Prepare detailed operational & budget analysis, variance analysis, and reporting for leadership on weekly, monthly, quarterly, and annual basis. • Collaborate with cross-functional teams to define business problems and change impact to develop data-driven solutions, managing within weekly capacity plans and budget constraints. • Present findings and insights to stakeholders in a clear and actionable manner. • Support ad-hoc analysis and special projects as needed. • Stay current with industry trends and advancements in analytics, statistics, and predictive modeling.

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