Data Analytics Engineer - Integrated Planning

Job Title

Position Overview:

The Data Analytics Engineer for our Integrated Planning team designs, develops, maintains, and improves data products, analytics solutions, pipelines, dashboards, and reporting tools that enable data-driven decision-making across Demand Planning, Supply Planning, and the larger Integrated Business Planning organization. Serving as the technical subject matter expert for Planning data assets and analytics solutions, this role ensures data integrity, usability, documentation, scalability, and business adoption while translating complex business requirements into sustainable solutions. The position operates with significant independence, leads complex cross-functional projects, trains data users, and contributes to enterprise data and AI initiatives.

Key Responsibilities

Planning Analytics & Decision Support

• Design and deliver trusted data products, dashboards, analytic views, and reporting solutions that support planning KPIs, forecasting, inventory, service, and performance management.
• Translate business questions across Demand Planning, S&OP, Supply Planning, and IBP into actionable analytical and technical solutions.
• Partner with Planning leaders, business stakeholders, data teams, and technology partners to gather requirements, prioritize work, and deliver solutions from concept through adoption.

Data Engineering, Governance & Reliability

• Build and maintain scalable data models, pipelines, integrations, and certified data assets that connect planning processes and source systems across the supply chain.

• Ensure data quality, integrity, documentation, lineage, lifecycle management, and alignment with enterprise governance and certification standards.

• Serve as the technical subject matter expert for assigned business-critical data assets, platforms, and analytics solutions; proactively resolve reliability and usability issues.

AI, Automation & Continuous Improvement

• Develop and deploy AI-enabled analytics, self-service tools, and automation that improve planning effectiveness, decision speed, and user productivity.

• Identify and implement opportunities to standardize processes, reduce manual work, improve scalability, and increase solution reliability.

• Evaluate emerging technologies and analytics techniques that can be applied to Planning’s processes

Required Skills & Qualifications

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Engineering, Statistics, Mathematics, Supply Chain, or a related field.

• Three or more years of experience in analytics, data engineering, business intelligence, or related discipline.

• Advanced knowledge of data modeling, data architecture, pipeline orchestration, data governance, master data, and enterprise data structures.

• Demonstrated proficiency with SQL and experience using Python, Databricks, Power BI, Tableau, or comparable enterprise analytics platforms.

• Demonstrated experience designing and maintaining production-grade data assets, dashboards, pipelines, and reporting solutions.

• Proven ability to lead cross-functional projects, translate business requirements into technical solutions, and deliver measurable value through adoption.

Preferred Qualifications

• Knowledge of Demand Planning, S&OP, IBP, Supply Planning, inventory management, forecasting processes, and the systems and data that connect planning across the supply chain.

• Experience with AI-enabled analytics, agent development, statistical analysis, or machine learning.

Competencies

• Drive Results

• Build Trusting Relationships

• Demonstrate Customer Orientation

• Navigate Ambiguity

• Learn Continuously

• Adapt and Change

The role may be filled as a Data Analytics Engineer II (S06), Data Analytics Engineer III (S07), or Sr. Data Analytics Engineer (S08), depending on the candidate’s experience and qualifications.

Work Shift