Commercial Insights Analyst

Role Description

Eaton’s ES AMER PCS division is currently seeking a Commercial Insights Analyst. This is a remote role for candidates currently residing in the United States. Relocation is not provided. The expected annual salary range for this role is $86,000 - $126,000 a year. Please note the salary information shown is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.

The Commercial Insights Analyst will develop and maintain trusted data assets and reporting solutions that serve as a single source of truth for ICD’s key financial performance metrics, forecast indicators, customer and channel insights, product portfolio performance, and operational service benchmarks. A key deliverable for this role is the creation and ongoing enhancement of a unified self-service analytics hub for Product Managers (PMs), Product Line Managers (PLMs), Regional Sales Managers (RSMs), Sales Operations, and division leadership.

This role will also support and advance ICD’s AI data readiness by establishing and maintaining the data, knowledge management, governance, and documentation practices required for effective use of enterprise AI capabilities. Responsibilities include:

• Managing commercial data structures, SharePoint knowledge sources, semantic models, metadata, and other foundational assets.
• Enabling the safe and effective use of Microsoft 365 Copilot, Copilot Studio, Power BI, GitHub Copilot, and related Microsoft technologies.
• Supporting sales enablement, portfolio growth, customer responsiveness, productivity improvements, and data-driven decision-making.

Essential Functions:

• Data Access and Source Stewardship:
  • Maintains access to relevant commercial data sources for the division.
  • Ensures datasets are clean, documented, governed, and fit for analytics, reporting, and AI-enabled use.
  • Cleanses, shapes, and combines data using Power Query and transformation best practices.
  • Works across Excel, SQL, Snowflake, SAP BW, SharePoint, OneDrive, and other approved sources.
  • Documents source ownership, refresh cadence, definitions, and business context.
• Data Modeling and Semantic Layer Development:
  • Transforms and models data using Power BI, Python, R, and related tools.
  • Builds efficient semantic models using star schemas, proper relationships, optimized joins, governed measures, calculated tables, and KPI definitions.
• Data Visualization and Decision Enablement:
  • Designs effective, user-friendly reports aligned with Eaton standards and business priorities.
  • Creates dashboards, landing pages, and self-service reporting experiences.
• Commercial Analysis and Business Partnership:
  • Supports priority commercial, product line, sales, and marketing initiatives.
  • Develops ad hoc analyses, reports, and data views based on defined business questions and stakeholder requirements.
  • Partners with sales, marketing, product management, and commercial leadership.
• Training, Documentation, and User Enablement:
  • Provides training, documentation, and support to business users and report consumers.
  • Guides teams on self-service analytics, Power BI workspace usage, data literacy, and best practices.
• Data Governance and Knowledge Management:
  • Maintains a commercial data dictionary documenting approved KPI definitions, source ownership, refresh cadence, business context, known limitations, and data lineage.
  • Establishes and maintains governance standards for commercial data and SharePoint knowledge sources.

Qualifications

• Bachelor’s degree from an accredited institution.
• Minimum of two (2) years of experience in business analytics or data science.
• Minimum of one (1) year of experience using SQL and analytical languages such as Python, R, or similar.
• Minimum of one (1) year of experience developing dashboards, scorecards, and executive-level reporting using data visualization tools such as Power BI, Tableau, or Qlik.

Requirements

• Experience with Microsoft Power Platform, including Power BI, Power Apps, Power Automate, or similar data transformation and automation tools.
• Understanding of semantic models, data modeling concepts, dataset performance, and governance.
• Bachelor’s degree in Business Analytics, Computer Science, Data Science, Economics, Finance, Information Technology, Mathematics, Statistics, or related field.
• Background supporting sales, marketing, pricing, customer experience, or other commercial organizations.
• Demonstrated ability to analyze sales performance, pricing, profitability, customer behavior, market trends, or commercial KPIs to inform business decisions.
• Experience gathering business requirements and translating them into analytical solutions, dashboards, and reporting tools.
• Experience working with enterprise data warehouses, ERP systems, or governed data environments (e.g., Snowflake, SAP BW, Palantir, Azure Data Platform).
• Experience preparing structured and unstructured business content for governed enterprise use.
• Ability to identify trends, develop forecasts, and generate actionable insights from business data.

Benefits

• Various Health and Welfare benefits.
• Retirement benefits.
• Programs that provide for paid and unpaid time away from work.