Statistical Analyst | Forecasting Specialist

Role Overview

Key Responsibilities

• Collect, validate, and analyze large datasets from business and operational sources.
• Build forecasting models for demand, sales, revenue, costs, capacity, and business performance.
• Develop time-series and predictive models and continuously evaluate their accuracy.
• Perform regression analysis, correlation analysis, hypothesis testing, and statistical inference.
• Prepare forecasting reports, dashboards, analytical summaries, and management presentations.
• Support demand, inventory, financial, workforce, operational, and strategic forecasting.
• Improve data quality, analytical processes, data pipelines, reporting systems, and infrastructure.
• Conduct scenario and sensitivity analysis and investigate forecast deviations and variances.
• Communicate statistical findings and business recommendations to technical and non-technical stakeholders.
• Stay current with statistical modeling, forecasting, machine learning, and analytical technologies.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Finance, Business Analytics, or a related quantitative field.
• Proven experience in statistical analysis, forecasting, predictive analytics, business intelligence, or a related discipline.
• Strong knowledge of statistical methods, probability, data analysis, quantitative modeling, and time-series forecasting.
• Experience with regression analysis, hypothesis testing, correlation analysis, statistical inference, and model evaluation.
• Proficiency in Excel and experience with Python, R, SQL, SAS, SPSS, or similar tools.
• Ability to work with large datasets and perform data cleaning, validation, transformation, and preparation.
• Ability to conduct scenario, sensitivity, and variance analysis and interpret business drivers.
• Strong analytical, communication, presentation, project management, and organizational skills.
• Experience with Finance, Sales, Operations, Supply Chain, Marketing, or Business teams is advantageous.
• Experience with machine learning, predictive analytics, or relevant certifications is beneficial.

What We Offer

• Competitive salary and comprehensive employee benefits.
• Professional development in statistics, forecasting, data science, and analytics.
• Training and support for relevant technical and professional certifications.
• Opportunities to contribute to strategic planning and business optimization initiatives.
• Career progression toward senior statistical analyst, forecasting manager, data scientist, predictive analytics manager, or head of analytics.