Sr. Analyst - SC Analytics Demand

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.​

OVERVIEW

The purpose of the job is to support Demand planning function by providing Innovative solutions and help implementing it to optimize/Standardize processes which will bring improvement to overall forecasting approach resulting in better accuracy. Explore and take up opportunities which supports the demand planning efforts by creating and executing industry standard approaches. This role requires you to operate on the 1.30pm to 10.30pm shift.

KEY ACCOUNTABILITIES

• Basic understanding of new product launches, forecasting techniques, and statistical forecasting models, with the ability to fine-tune model parameters to align forecasts with business needs and market dynamics.
• Analyze forecasting outputs, interpret patterns and trends in complex datasets, and prepare insightful reports to support stakeholder decision-making. Evaluate and monitor key performance metrics, such as forecast accuracy and bias, and publish performance dashboards to keep stakeholders informed.
• Identify improvement opportunities through root cause analysis (RCA) to achieve business targets and enhance reliability, while managing data requirements for new product launch forecasting and prioritizing support requests based on business impact and resource constraints.
• Use tools (like GCP, Python Dash, Tableau, AFO etc.) to extract, transform and manage data from primary and secondary sources using SQL, Excel and Python.
• Collaborate with stakeholders and brand marketing teams to align demand forecasts with launch strategies and promotional plans, lead consensus meetings to incorporate cross-functional feedback, and standardize processes by training stakeholders on tools and methodologies to improve adoption and efficiency.
• Coordinate with technical /data science teams to identify process improvement opportunities, validate outputs, propose modification if required.

MINIMUM QUALIFICATIONS

• Education: Minimum of a bachelor’s degree in Operational research, statistics, supply chain and any other relevant field 3 years of related experience
• Experience: 2-3 years of experience in data analysis and high level of analytical skills,
• Technical Skills: Working knowledge of data visualization tools such as Tableau, Power BI, and Looker, along with forecasting techniques, including time-series models (Exponential Smoothing and ARIMA) and machine learning methods.
• Proficiency in statistical analysis and data handling using R, Python, Excel, and SQL to derive meaningful insights from datasets.
• Basic understanding of cloud platforms such as GCP, AWS, and Azure, as well as supply chain, CPG, and retail operations.
• Soft Skills: Demonstrates critical thinking, integrity, teamwork, demand management expertise, a systematic approach to problem-solving, the ability to influence without authority, and strong interpersonal skills.

PREFERRED QUALIFICATIONS

• Master’s degree with a major in Operations or a related field.
• Minimum of 5 years of relevant professional experience.
• Professional certifications such as CSCMP or APICS are preferred.
• Proficiency in Excel, knowledge of ERP systems, and familiarity with functional planning tools such as SAP APO.

ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.