Statistical Analyst | Forecasting Specialist

Overview

We are looking to hire a dedicated Statistical Analyst and Forecasting Specialist to convert complex datasets into actionable insights and robust forecasting models. This full-time position is suited for mid to senior professionals keen on applying advanced statistics, predictive analytics, and business intelligence to bolster operational decisions and strategic planning.

Key Duties

• Gather, structure, validate, and analyze extensive datasets from diverse business and operational channels.
• Develop statistical and predictive models for trends, seasonality, sales forecasts, and operational performance metrics.
• Continuously monitor, assess, and improve forecasting model accuracy and relevance through time-series and regression analyses.
• Execute hypothesis testing, correlation studies, and regression analysis to infer significant data relationships.
• Create scenario simulations to evaluate potential outcomes based on varying business assumptions.
• Interpret statistical outputs and convey findings into clear, actionable business strategies and reports.
• Support various planning functions such as demand, inventory, financial, workforce, and operations through precise forecast insights.
• Work collaboratively with data engineering and IT to optimize data pipelines and forecasting systems.
• Conduct variance and sensitivity analyses, regularly comparing real outcomes with predictions to refine models.
• Drive automation and efficiency in analytical processes supporting forecasting tasks.
• Stay updated with cutting-edge statistical approaches, forecasting technologies, and machine learning applications.

Qualifications and Experience

• Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Finance, Business Analytics, or related quantitative field.
• Proven track record in statistical analysis, forecasting, predictive analytics, or business intelligence roles.
• Advanced expertise in statistical methods, probability, quantitative data analysis, and time-series forecasting.
• Hands-on experience with regression, hypothesis testing, and correlation analysis.
• Proficient in Excel advanced functions; experience with programming/statistical tools such as Python, R, SQL, SAS, or SPSS.
• Familiarity with data visualization platforms including Power BI and Tableau is a plus.
• Strong data management skills including cleaning, validation, and transformation of large datasets.
• Knowledge of performance metrics for forecasting models and business-oriented evaluation techniques.
• Ability to perform scenario and sensitivity analyses, and variance examination.
• Effective communication skills to explain complex concepts to technical and non-technical audiences.
• Project management capabilities with the ability to handle several analytical projects simultaneously.
• Experience collaborating with cross-functional teams in Finance, Sales, Operations, Supply Chain, or Marketing departments is advantageous.
• Certifications in statistics, data analytics, forecasting, or business intelligence are beneficial.
• Exposure to machine learning or predictive analytics is a plus.

Benefits and Growth Opportunities

• Competitive remuneration along with a comprehensive benefits package.
• Engagement with advanced methodologies and innovative analytical tools.
• Professional growth through training and certification support in relevant technical disciplines.
• Interaction with diverse teams across multiple business units facilitating broad operational insights.
• Clear avenues for progression into senior analyst, forecasting manager, data scientist, or analytics leadership roles.