About the Role
The individual in this position will design, implement, and refine forecasting systems to improve decision-making accuracy across business units using quantitative techniques and data analysis.
Responsibilities
- Develop statistical models to predict business outcomes
- Maintain and update forecasting tools on a regular basis
- Collaborate with department leads to understand data needs
- Translate business requirements into quantitative frameworks
- Validate model accuracy using historical performance data
- Produce clear visualizations of forecast outputs
- Identify trends and anomalies in large datasets
- Integrate new data sources into existing models
- Document methodologies and assumptions systematically
- Support scenario planning with alternative projections
- Ensure data integrity across reporting systems
- Communicate findings to non-technical stakeholders
- Optimize forecasting cycles for timeliness and precision
- Participate in cross-departmental planning sessions
- Monitor key performance indicators related to forecasts
- Refine assumptions based on market feedback
- Apply time-series analysis techniques
- Use programming tools for automation of repetitive tasks
- Conduct sensitivity analyses on model inputs
- Maintain version control for model iterations
- Align forecasting practices with organizational goals
- Evaluate third-party data for integration potential
- Support budgeting and resource allocation processes
- Troubleshoot discrepancies in forecast versus actuals
- Stay current with advancements in predictive analytics
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible scheduling
Team
Collaborative environment within a cross-functional analytics team
What You’ll Do
- Design and deploy forecasting models tailored to business needs
- Work closely with teams to gather input and validate outputs
- Continuously assess model performance and update as needed
- Present forecasts in formats accessible to leadership and planners
What We’re Looking For
- Proven experience in quantitative modeling and data analysis
- Strong technical foundation with practical application
- Clear communication skills for both technical and non-technical audiences
- Commitment to accuracy, transparency, and documentation
Available for qualified candidates
