Commercial Data Analyst

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Industrial Electric Mfg. (IEM)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1955

🏭 Manufacturing

⚡ Energy

🔧 Hardware

Manufacturing • Energy • Hardware

Industrial Electric Mfg. (IEM) is the largest independent full-line manufacturer in the U. S. of electrical distribution equipment and integrated power systems. For over 50 years IEM has designed and manufactured customer-specific power management solutions, including electrical distribution equipment up to 38kV, integrated power control systems, data center power solutions, and arc-resistant switchgear. Their offering and engineering focus serves industrial, commercial, and data center customers requiring robust, configurable electrical hardware and energy distribution systems.

📋 Description

• Develop, maintain, and enhance analytics frameworks to monitor customer retention, market share, revenue growth, and market expansion initiatives • Provide analytics and insights into customer forecasts and their impact on operational performance and business prioritization • Provide analytics for quote-to-order conversion • Provide analytics around key operational metrics influencing customer satisfaction • Leverage AI tools and modern analytics workflows to improve efficiency, insight generation, and decision support across day-to-day operations • Collaborate with Data Science, Infrastructure, and Analytics teams using tools such as Tableau and Snowflake to deliver timely performance insights • Communicate clear, actionable insights and recommendations to stakeholders across the organization • Partner closely with the IT BI team and business consumers to establish KPIs, metrics, and dashboards • Report to the Director, Field Service - Business Systems & Reporting

🎯 Requirements

• 6+ years of relevant analytical experience working with large datasets and delivering insights • Bachelor’s or master’s degree in Analytics or a related field is preferred • Experience in the commercial domain preferred • Hands-on experience incorporating AI tools, such as generative AI, automation, or advanced analytics workflows, into day-to-day analytical work • Ability to influence stakeholders through data-driven insights and clear communication • Strong attention to detail and commitment to data accuracy • Strong business acumen, critical thinking, and problem-solving skills • Experience mentoring and developing analysts in a team environment • Experience with visualization tools such as Tableau • Ability to collaborate with Data Science, Infrastructure, IT BI, and other Analytics teams

🏖️ Benefits

• Comprehensive and competitive benefits package designed to support employees' well-being, growth, and long-term success