Statistical Analyst | Forecasting Specialist

Role overview

Analysis and forecasting

• Collect, validate, organize, and analyze large datasets from business and operational sources.
• Identify trends, patterns, relationships, seasonal effects, cycles, anomalies, and significant changes.
• Build and refine forecasting and predictive models for demand, sales, revenue, costs, capacity, and business performance.
• Apply time-series analysis, regression, correlation, hypothesis testing, and other suitable statistical methods.
• Evaluate forecast accuracy, validate model assumptions and outputs, and investigate significant deviations.
• Develop scenarios and simulations, conduct sensitivity analysis, and compare actual results with forecasts.
• Analyze market, customer, sales, operational, financial, and external factors that influence forecasts.

Planning, reporting, and collaboration

• Support demand, inventory, financial, workforce, operational, and strategic planning activities.
• Prepare forecasting reports, dashboards, analytical summaries, management presentations, and actionable recommendations.
• Define forecasting objectives, assumptions, timelines, and outputs with business stakeholders.
• Improve data quality and automate analytical processes; collaborate with Data Engineering and IT on pipelines, reporting systems, and analytical infrastructure.
• Establish forecasting methods, documentation, and analytical standards, and perform ad-hoc analysis for strategic projects.

Qualifications and experience

• 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 developing and evaluating forecasting and predictive models, using regression, hypothesis testing, correlation analysis, and statistical inference.
• Proficiency in Excel and experience with advanced analytical functions and modeling.
• Experience using one or more statistical or programming tools such as Python, R, SQL, SAS, SPSS, or similar technologies.
• Ability to work with complex datasets, prepare data for analysis, evaluate forecast performance, and conduct scenario, sensitivity, and variance analysis.
• Strong analytical thinking, attention to detail, communication, presentation, project management, and organizational skills.

Advantageous experience

• Knowledge of Power BI, Tableau, or equivalent data visualization platforms is advantageous.
• Experience with Finance, Sales, Operations, Supply Chain, Marketing, or Business teams is advantageous.
• Machine learning, predictive analytics, modern data-analysis technologies, and relevant certifications are beneficial.

What the employer offers

• Competitive salary and comprehensive employee benefits; salary amount and cadence are not specified.
• Opportunity to work with statistical and forecasting methods, business intelligence, predictive analytics, and data-driven decision-making.
• Professional development, certification training and support, modern analytical technologies, cross-functional work, and opportunities to contribute to strategic initiatives.