Freelance Statistical Forecasting Analyst (Client Hire)

Flexing It is a freelance consulting marketplace that connects freelancers and independent consultants with organisations seeking independent talent.

Flexing It has partnered with Our client, A leading global FMCG firm is seeking a detail-oriented and analytical Statistical Forecasting Analyst. The ideal candidate will be responsible for developing, maintaining, and improving statistical models to forecast demand, sales, or other key business metrics. This role requires strong analytical skills, proficiency in statistical software, and the ability to translate complex data into actionable insights that support strategic decision-making.

Key responsibilities:

● Develop and maintain statistical models for short-term and long-term forecasting.

● Analyze historical data and identify trends, seasonality, and outliers to enhance forecast accuracy.

● Collaborate with cross-functional teams (e.g., sales, marketing, finance, supply chain) to

understand forecasting requirements and business drivers.

● Perform scenario analysis and sensitivity testing to evaluate forecast robustness.

● Utilize software tools and programming languages (e.g., Python, R, SQL, Excel, SAS) for data manipulation and model development.

● Communicate forecasting results and insights through clear visualizations, dashboards, and presentations.

● Continuously refine forecasting processes and recommend improvements to enhance accuracy and efficiency.

● Monitor forecast performance using key metrics (e.g., MAPE, RMSE) and adjust models

accordingly.

● Support demand planning or financial planning functions with accurate forecast inputs

Skills required:

● Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, Economics, or a

related quantitative field.

● 3+ years of experience in statistical modeling, forecasting, or related analytics roles.

● Strong knowledge of time series analysis and forecasting methodologies (e.g., ARIMA,

exponential smoothing, regression, machine learning approaches).

● Proficiency in statistical and data analysis tools such as Python, R, SQL, Excel, or SAS.

● Experience with data visualization tools like Power BI, Tableau, or similar.

● Strong problem-solving, critical thinking, and communication skills.

● Ability to work independently and collaboratively in a fast-paced environment