Senior Data Analyst - S&OP

CaterpillarPeoria, IL
1dOnsite

About The Position

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Caterpillar IT team is seeking an experienced Machine S&OP (Sales and Sales Operation) & Senior Data Analyst to support and to modernize our Marketing Data warehouse. This role is ideal for someone with deep process expertise in S&OP, strong analytical capabilities, and hands‑on experience managing or enhancing enterprise applications or data warehouses. The ideal candidate combines business process understanding with technical proficiency and enjoys acting as the bridge between Business partners, IT and data teams. As Data Solution Expert, you will interface with product owners, IT architects, stakeholders, senior leadership, technical or non-technical teams, and Program Managers to support existing solutions and databases and to modernize current solutions to meet the future needs of our business partners.

Requirements

  • Machine S&OP (Sales & Operations) Business Knowledge: Proven experience in Machine S&OP, production planning, supply chain planning, or similar functions. Act as subject-matter expert for the S&OP planning system and/or data warehouse used to support planning and reporting.
  • Application & Data Warehouse Support: Collaborate closely with IT teams to manage enhancements, troubleshooting issues, and ensure system stability. Define and validate data structures, data flows, and integration logic needed for accurate planning and reporting.
  • Translate business needs into system or data requirements, including specifications for dashboards, KPIs, data pipelines, and automation.
  • Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.
  • Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.

Nice To Haves

  • Relevant bachelor’s or master’s degree in computer science or Equivalent education
  • Familiarity with data warehousing and analytics platforms.
  • Strong Customer Focus, problem-solving capabilities coupled with risk management understanding.
  • Ability to translate complex business processes into structured system requirements or data models.
  • Strong analytical mindset and proficiency with planning tools, reporting platforms, or SQL.
  • Excellent communication skills and the ability to collaborate with both technical and non‑technical stakeholders.
  • Deploying software using CI/CD tools such as Azure DevOps, etc.
  • Working within an Agile framework (ideally Scrum)

Responsibilities

  • Leads the design, development, and support of data and analytics solutions for S&OP processes, ensuring alignment with business objectives and operational needs.
  • Partners with business stakeholders, IT teams, and product owners to translate requirements into scalable data models, dashboards, and reporting tools that drive decision-making.
  • Analyzes complex datasets to identify trends, risks, and opportunities, delivering actionable insights to improve planning accuracy and overall supply chain performance.
  • Supports continuous improvement of data pipelines, systems, and processes, including troubleshooting issues, enhancing data quality, and implementing best practices across the data lifecycle.

Benefits

  • Medical, dental, and vision benefits
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)
  • 401(k) savings plans
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSAs)
  • Health Lifestyle Programs
  • Employee Assistance Program
  • Voluntary Benefits and Employee Discounts
  • Career Development
  • Incentive bonus
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement
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