Supply Chain Analyst Intern

RELEX Solutions•Atlanta, GA

4d•Hybrid

About The Position

We are now looking for a Supply Chain Analyst Intern to join our RELEX family in Atlanta. This role requires you to be local or able to commute to our Midtown office. You’ll join the Customer Operations team of 100+ people, who will help you succeed in your new role. You will be working with top-of-the-line software specializing in Machine Learning forecasting with real customer data of US retailers, wholesalers, and manufacturers. At RELEX Solutions, we are embarking on a mission to nurture the next generation of supply chain professionals through a dynamic internship program that encapsulates our core values and aligns with our unwavering dedication to innovation, sustainability, and meaningful collaboration.

Requirements

Relevant work or coursework experience in supply chain planning, forecast analysis, data analysis, demand and inventory planning, or software implementation.
Excellent analytical and problem-solving skills
Ability to understand Supply Chain Management and other retail planning systems from business and IT perspectives
Entrepreneurial attitude with an interest continuous improvement and skill building
Strong work ethic, ability to learn on the fly, autonomy in delivering tasks, and self-starter approach to taking on new challenges and expanding your horizons.
Familiarity with large sets of data and the ability to parse through to find key information
Ability to work in our Midtown office up to 4 days/week.

Responsibilities

Support aspects of retail and supply chain planning in the fields of demand forecasting utilizing Machine Learning and Time Series models.
Conduct detailed data analysis to uncover strengths and deficiencies in customer forecast, including identifying trends, patterns, and areas for improvement, to guide optimal configuration of the solution.
Configure forecasting models in RELEX, which includes parameter tuning and optimizing model settings for different scenarios.
Test and analyze the results by measuring key performance metrics like forecast accuracy, forecast bias, and absolute error, among others.
Present your findings and forecast results to both technical and non-technical stakeholders. This may involve creating clear and concise reports, visualizations, and presentations to convey complex forecasting information effectively.
Contribute to the continuous improvement of forecasting processes. This includes suggesting enhancements to forecasting models, exploring new data sources, and participating in brainstorming sessions to innovate and refine forecasting methodologies.