Senior Forecasting Business Analyst

LINKEDIN

Omaha, NE, United States
Base: $95,000 to $158,000; bonus/equity: annual pe...
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Predictive modeling
Statistical techniques
Analyze large datasets
** LinkedIn is seeking a Senior Forecasting Business Analyst for its Omaha, NE office. The role focuses on budget planning, forecasting, and analysis to enhance the financial performance of Trust Operations, requiring strong analytical skills and proficiency in programming languages. **

Job Summary

  • The Senior Forecasting Analyst for Trust Review Operations will support 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.
  • LinkedIn is committed to fair and equitable compensation practices, with a pay range of $95,000 to $158,000, potentially including annual performance bonus, stock, and benefits.

Matching Summary

Match Score: 75

** LinkedIn is seeking a Senior Forecasting Business Analyst for its Omaha, NE office. The role focuses on budget planning, forecasting, and analysis to enhance the financial performance of Trust Operations, requiring strong analytical skills and proficiency in programming languages. **

Salary

Base: $95,000 to $158,000; Bonus/Equity: annual performance bonus, stock, and/or other applicable incentive compensation plans; Benefits: benefits

Skills & Requirements

Must-have

  • Predictive modeling
  • Statistical techniques
  • Analyze large datasets
  • Data visualization tools
  • Python, R, or SQL

Nice-to-have

  • Workforce Management systems
  • Big data technologies
  • Attention to detail and accuracy
  • Problem-solving and critical thinking

Key Requirements

  • Bachelor’s in Statistics, Data Science, Computer Science, Mathematics, Economics, or related technical field or equivalent practical experience
  • Experience in predictive analytics, data analysis, and statistical modeling
  • Experience in programming languages such as Python, R, or SQL
  • Experience with data visualization tools (e.g., Tableau, Power BI)

Work Rights

Not specified

Tailored Resume

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