Demand Modeler

Description

Demand Modeler Central America and Caribbean (CCA) based in Mexico City

Hybrid model: 3 days at office, 2 days from home.

The demand modeler is the specialist in crafting models to forecast and analyse demand for our products. The candidate must have a fair balance between, phenomenal leadership, influence and strong technical knowledge in statical and data analysis.

Their must possess enough knowledge to guide their collaborators in finding the right solution for sophisticated problems including mathematical and statistical prediction models. Also, they must have the right knowledge about the business to ensure they can connect with the market demand planners to capture all the inputs for those models and also ensure the models are embraced by the markets once constructed. The demand modelling team will own and drive statistical forecast accuracy performance to achieve targets and this manager will be the ultimate responsible for the performance of the team.

Top Accountabilities:

Performance Monitoring: Responds for the accuracy of the forecast of region handled, driving adjustments to improve forecast reliability.

Demand Forecasting: Is the person in charge to develop and maintain demand forecasting models using statistical algorithms, machine learning techniques, and historical sales data to predict future demand trends accurately.

Adoption: guarantees the quality of the outcome of the modelling team to ensure adoption in the markets.

Teamwork: Collaborate with cross-functional teams including sales, marketing, supply chain, and finance to capture input, validate forecasts, and ensure alignment of demand plans with business objectives.

Scenario Planning: Conduct scenario analysis and sensitivity testing to evaluate the impact of various factors such as pricing changes, promotional campaigns, and market fluctuations on demand forecasts and recommend mitigation strategies.

Continuous Improvement: Keep abreast of advancements in demand forecasting methodologies, tools, and technologies, and proactively implement best practices to improve forecasting accuracy and efficiency.

Provide key input to S&OP/IBP process: Collaborate with IBP Lead and Demand Planner to conduct root cause analysis to identify drivers of forecast error and work together to take the vital corrective action to drive continuous improvement in forecast accuracy and bias performance.

Basic Qualifications:

Bachelor Degree or equivalent experience in an analytical career.

Confirmed experience of more than 5 years handling statical information, data analysis, demand planning or financial modeling.

Analytical skills and an analytical attitude.

Sophisticated level of Excel.

Intermediate-Advanced level of English for conversations with global teams.

Collaboration with proactivity, dynamism in a fast peaced environment.

Passionate about finding solutions.

Teamwork, curiosity and agility.

Preferred Qualifications

Power BI.

Fluid English.

Benefits:

Our rewards package include many perks for your wealth, health and work/life balance plus over the law benefits and a competitive salary.

Diversity statement

Celebrating our inclusive and diverse culture is core to Diageo’s purpose of “celebrating life every day everywhere”. This purpose is, in itself, inclusive in nature, as it values everybody irrespective of background, disability, religion, gender identity, sexuality or ethnicity.

We know that for our company to thrive and to realize its ambition, we depend on having diverse talent with a range of backgrounds, skills and capabilities in each of the 180 countries in which we operate and to reflect our broad consumer base. We view diversity as one of the key enablers that helps our business to grow and our values, purpose and standards set the conditions for us to respect the outstanding contribution each person brings

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