Commercial Insights Analyst

Eaton Corporation•Menomonee Falls, WI

1d•$97,000 - $143,000•Remote

About The Position

ICD is undergoing a significant commercial transformation, and data-driven insights play a critical role in improving customer experience, enabling growth, and making the division easier to do business with. This role requires a self-motivated problem solver who is comfortable navigating change, building new capabilities, and identifying opportunities to improve processes, decision-making, and business outcomes. At Eaton, making what matters work means bringing curiosity, accountability, and practical solutions that help the business move faster and serve customers more effectively. 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.

Requirements

High School Diploma or Equivalent
Minimum of two (2) years of experience in business analytics or data science
Minimum of one (1) years 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.
Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1, H-1B, H-1B cap registration, O-1, E-3, TN status, 1-485 job profitability, etc.

Nice To Haves

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, including SharePoint libraries, metadata management, documentation standards, semantic models, and approved knowledge sources.
Ability to identify trends, develop forecasts, and generate actionable insights from business data.

Responsibilities

Managing commercial data structures, SharePoint knowledge sources, semantic models, metadata, and other foundational assets to enable the safe and effective use of Microsoft 365 Copilot, Copilot Studio, Power BI, GitHub Copilot, and related Microsoft technologies in support of sales enablement, portfolio growth, customer responsiveness, productivity improvements, and data-driven decision-making.
Translating business needs/queries into intelligent data pipelines.
Translating business queries into sustainable data that can be accessed by other members of the division.
Building an efficient semantic layer.
Building out AI tools to make processes more streamlined.
Ensuring AI data readiness.