> Markdown version of [/jobs/ext/4443563-data-analyst-data-scientist-utility-analytics-in-mundelein](https://www.wearedevelopers.com/jobs/ext/4443563-data-analyst-data-scientist-utility-analytics-in-mundelein). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst / Data Scientist (Utility Analytics) in Mundelein - **Company:** Energy Jobline - **Location:** Mundelein, IL, United States (Remote available) - **Experience:** Experienced - **Salary:** $114,400.0 - $124,800.0 - **Contract:** Temporary contract - **Skills:** Data Analysis, Big Data, Data Validation, Data Visualization, Google Analytics, Power BI, Information Technology, Tools for Reporting, Databricks - **Published:** October 31, 2026 - **Apply:** https://www.energyjobline.com/job/data-analyst-data-scientist-utility-analytics-mundelein-32118919 ## About the Role We are seeking a detail-oriented Data Analyst / Data Scientist to join our Customer Analytics and Digital Products team on a high-impact, special project. In this role, you will analyze large-scale utility datasets, evaluate customer-facing digital products (such as rate recommendation and bill comparison tools), and build interactive reporting tools to drive business decisions and improve customer experience., * Utility Industry & AMI Data (MUST-HAVE): Direct experience working with Advanced Metering Infrastructure (AMI) and utility customer usage data. Note: Candidates without utility/AMI experience will not be considered. \n * Professional Experience: 2+ years of professional data analysis experience, with a proven track record of reviewing large data extracts/dumps to identify trends and data anomalies. \n * Technical Proficiency: \n * Hands-on experience with Power BI for dashboard creation and data visualization. \n * Experience with Databricks or working with large, multi-source datasets. \n * Education: Bachelor's degree in Data Science, Analytics, Computer Science, Statistics, or a related field. \n * Core Competencies: Strong data validation and problem-solving skills, extreme attention to detail, and excellent verbal and written communication skills suitable for a regulated environment. \n, * Experience with Customer Care & Billing (CC&B) data and tools. \n * Proficiency with Google Analytics or other web/digital engagement tracking platforms. \n * Proven track record developing recurring customer analytics reports and tracking digital product adoption. \n