At IEM, we’re not just building innovative electrical distribution systems, we’re shaping the future. IEM is dedicated to delivering world-class solutions for complex power needs. After 75 years, we continue to push the boundaries of what’s possible. Whether you’re an experienced professional or just starting out, you’ll have the opportunity to contribute, grow, and make a lasting impact on industries that power the world’s most dynamic markets.
Location: US Remote
Reports To: Director, Field Service - Business Systems & Reporting
Salary Range: $95,000-$120,000
Position Summary:
As a Commercial Data Analyst, your goal is to unlock insights that drive the business—supporting strategic decision-making and performance management. This role is responsible for analyzing customer behavior, marketplace dynamics, and operational performance to provide visibility and optimize key business initiatives for one of our top customers.
This role partners closely with IT BI team and business consumers to establish KPI, metrics and dashboards.
Key Responsibilities:
- Develop, maintain, and enhance analytics frameworks to monitor customer retention, market share and revenue growth and market expansion initiatives.
- Provide analytics and insights into customer forecast and impact to operational performance and business prioritization.
- Provide analytics for quote to order conversion.
- Provide analytics around key operational metrics that influence 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 other 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
Expectations:
- Foster a Positive Work Environment: Promote a culture of respect and employee engagement.
- Professionalism: Demonstrate high integrity, discretion, and confidentiality when handling workplace information.
- Communication: Foster clear, respectful, and proactive communication with peers, management, and external partners to build positive relationships.
- Teamwork: Utilize team concepts to collaborate with cross functional and leadership teams to streamline and drive operational success.
Qualifications:
- 6+ years of relevant analytical experience working with large datasets and delivering insights
- Bachelor’s or master’s degree in Analytics or related field is preferred
- Experience in commercial domain preferred.
- Hands-on experience incorporating AI tools (e.g., generative AI, automation, or advanced analytics workflows) into day-to-day analytical work
- Demonstrated 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
Why Join IEM
At IEM, you’ll join a team that powers some of the world’s most ambitious projects. We’re engineers, makers, and problem-solvers who thrive on tackling complex challenges and delivering solutions that keep industries moving forward. If you’re driven, collaborative, and ready to make an impact, we’d love to hear from you. Your creativity and passion can help us achieve great things—come be part of the journey.
Learn more about IEM at https://www.iemfg.com
We offer comprehensive and competitive benefits package designed to support our employees' well-being, growth, and long-term success. View a snapshot of our benefits at https://www.iemfg.com/careers
Recruiting Scams
Beware of recruiting scams. IEM never charges candidates fees, and all recruiter emails come from an @iemfg.com address. If you suspect fraudulent activity, do not share personal information and report it to us at iemfg.com/contact
Non-Discrimination Statement
IEM does not discriminate against any applicant based on any characteristic protected by law.
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