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# Data Analyst II

- **Company:** CMS Energy Corporation
- **Location:** United States (Remote available)
- **Salary:** $89,149.0 - $118,851.0
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Information Engineering, Data Files, Data Presentation, Database Queries, Python (Programming Language), Power BI, SQL Databases, Information Technology, Data Analytics
- **Published:** June 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=cf645916a2127cea

## About the Role

Do you have experience in Stakeholder relationship building?, Do you have a Bachelor's degree?, * Candidates must be eligible for W-2 employment and authorized to work in the U.S. without employer sponsorship., * Bachelor's Degree in Information Technology, Data Analytics, or related field.

 * Large Dataset Management - Ability to work with high volume, multi-source datasets in structured and unstructured formats.
 * Power BI, SQL & Python - Proficiency in building dashboards, writing complex queries, and performing advanced analytics.
 * Technical & Non-Technical Communication - Skilled at presenting insights to diverse audiences, translating complex data into clear narratives.
 * Data Modeling & Statistics - Strong understanding of data modeling concepts, statistical analysis, and data engineering fundamentals.
 * Problem Solving - Ability to diagnose issues, analyze root causes, and develop effective solutions.
 * Written & Verbal Communication - Excellent communication skills for documentation, presentations, and stakeholder engagement.

## Description

* Data Analysis & Exploration - Analyze large, complex datasets using statistical methods to identify trends, patterns, and actionable insights that support organizational growth and efficiency.
 * Reporting & Visualization - Build, maintain, and enhance dashboards and reports that deliver accurate, on-time information to business stakeholders.
 * Requirements Gathering - Collaborate with business units to understand reporting needs, translate them into technical requirements, and ensure deliverables align with strategic objectives.
 * Data Quality & Validation - Ensure data accuracy, consistency, and completeness across multiple sources; troubleshoot discrepancies and implement corrective actions.
 * Cross-Functional Collaboration - Work closely with IT, operations, and business teams to support data-driven decision-making and continuous improvement initiatives.
 * Process Improvement - Identify opportunities to streamline data workflows, automate reporting, and enhance analytical capabilities.
 * Data Analysis & Exploration - Analyze large, complex datasets using statistical methods to identify trends, patterns, and actionable insights that support organizational growth and efficiency.


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