Provide data-driven insights, dashboards, and scenario modeling to support demand and supply planners, S&OE/S&OP processes, and enterprise decision-making
Drive continuous improvement in analytics, data quality, and model reliability
Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights
Partner with more senior team members to align analytics with standards, governance, and process maturity efforts
Generate dashboards and KPIs that support IBP governance and forum discussions
Enable S&OE/S&OP with near-term supply-demand coverage analytics, including early warning indicators

Requirements

Bachelor's or Master's Degree or equivalent in data science, statistics, computer science, or related field
Ability to work independently and as part of a team in a fast-paced environment
Knowledge in predictive modeling, machine learning, and statistical analysis preferred
Programming languages such as Python, R, or SQL
Data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar
Strong analytical and problem-solving skills with the ability to interpret complex data
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
Knowledge of advanced machine learning techniques and frameworks

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLRpredictive modelingmachine learningstatistical analysisdata visualizationadvanced analyticsdata qualitymodel reliability

Soft Skills

analytical skillsproblem-solving skillsindependent workteam collaborationcommunication skills

Certifications

Bachelor's DegreeMaster's Degree