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Utilities Data Analyst Jobs in Michigan (NOW HIRING)

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

... Data Warehouse and ETL utilities. · Experience in AWS cloud and AI platform. · Proficiency in SQL, Hummingbird BI/Query, SAP Business Objects, Tableau, and Power BI. · Strong experience with ...

General Manager Utilities

Warren, MI · On-site

$100K - $125K/yr

Demonstrate the ability to thoroughly use the current CMMS/SAP system for data entry, work ... At times it may require review and analysis of technical information including drawings ...

Demonstrate the ability to thoroughly use the current CMMS/SAP system for data entry, work ... At times it may require review and analysis of technical information including drawings ...

General Manager Utilities

Warren, MI · On-site

$100K - $125K/yr

Demonstrate the ability to thoroughly use the current CMMS/SAP system for data entry, work ... At times it may require review and analysis of technical information including drawings ...

Advanced business acumen and utility/energy industry experience * Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program evaluation * Advanced project management ...

Advanced business acumen and utility/energy industry experience * Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program evaluation * Advanced project management ...

Advanced business acumen and utility/energy industry experience * Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program evaluation * Advanced project management ...

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Utilities Data Analyst information

What is a utilities data analyst?

A utilities data analyst is responsible for collecting, analyzing, and interpreting data related to utility services such as water, electricity, or gas. They use tools like Excel, SQL, or specialized software to identify trends, improve efficiency, and support decision-making within utility companies. Strong analytical skills and knowledge of utility operations are essential for this role.

What is the difference between Utilities Data Analyst vs Data Analyst?

AspectUtilities Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; familiarity with utility industry standardsBachelor's in Data Science, Statistics, or related field; versatile across industries
Work EnvironmentUtility companies, energy providers, infrastructure firmsVarious industries including finance, healthcare, retail, and technology
Employer & Industry UsagePrimarily in utility and energy sectorsBroad, across multiple sectors
Common Search & Comparison IntentUnderstanding roles within utilitiesGeneral data analysis roles across industries

The Utilities Data Analyst specializes in analyzing data specific to utility operations, energy consumption, and infrastructure, often requiring industry-specific knowledge. In contrast, a Data Analyst has a broader scope, working across various industries with versatile data skills. Both roles require similar educational backgrounds but differ in industry focus and application.

Is a utilities data analyst a high paying job?

Utilities data analysts typically earn salaries that are competitive within the data analysis field, with median wages often above the national average for similar roles. Compensation can vary based on experience, location, and certifications, but the role generally offers a solid salary with opportunities for advancement.
What are popular job titles related to Utilities Data Analyst jobs in Michigan? For Utilities Data Analyst jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Utilities Data Analyst jobs? Cities in Michigan with the most Utilities Data Analyst job openings:

Programmer Analyst 6

Staffactory

Lansing, MI • On-site

$58 - $63/hr

Full-time

Re-posted 16 days ago


Job description

Position: Programmer Analyst 6
Location: Lansing, MI 48933
Minimum Education Level: Bachelor's Degree
 
 
 
We are looking for a Programmer Analyst 6.
 
Top Skills & Years of Experience: 
·         Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field.
·         3+ years of experience in report development and data analysis within large-scale environments.
·         3+ years of experience in AI Data engineering with AWS platforms.
·         3+ years of experience in python, PySpark and Advanced Data Structures.
·         3+ years of experience in Teradata Data Warehouse and ETL utilities.
·         Experience in AWS cloud and AI platform.
·         Proficiency in SQL, Hummingbird BI/Query, SAP Business Objects, Tableau, and Power BI.
·         Strong experience with dashboard development and data visualization best practices.
·         Solid understanding of relational databases and data warehouse concepts, preferably Teradata.
·         Excellent analytical, problem-solving, and communication skills.
 
Will close submissions on: 3/3 at 10am EST
Interview Process: MS Teams Video Interviews
Duration: 1 year with possible extension
Hybrid: Resource will be working a hybrid schedule. NO REMOTE ONLY OPTION. Will need to be onsite from day 1, two days a week (Wed/Thur ONSITE). 
Open to local and non local. Non-local candidates must be willing to relocate starting Day 1. Please ensure you confirm prior to submitting. 
 

Job Summary

We are seeking an experienced Senior Report Developer to serve as a Data Analyst and Dashboard Developer within the MDHHS Analytics and Visualization Division. This role focuses on analyzing complex datasets, generating actionable insights, and developing interactive dashboards using Power BI, SAP BusinessObjects, Crystal Reports, and BI Query. In addition, the position will involve designing and optimizing cloud-native data and AI platforms leveraging Amazon Web Services (AWS) to support advanced analytics, machine learning, and real-time data processing initiatives. The ideal candidate will have strong analytical skills, proficiency in reporting tools, and the ability to translate business requirements into effective data visualizations and scalable data solutions.


Key Responsibilities

  • Analyze large and complex datasets to identify trends, patterns, and actionable insights for business stakeholders.
  • Design, develop, and maintain interactive dashboards and reports using Power BI, SAP BusinessObjects, and Crystal Reports.
  • Develop and optimize SQL queries and scripts for data extraction and transformation.
  • Create and optimize queries in Hummingbird BI Query to support business intelligence and data analysis requirements.
  • Architect and implement end-to-end data pipelines using AWS services such as Amazon S3, Glue, Lambda, EMR, Redshift, Kinesis, and SageMaker.
  • Design, build, and optimize scalable cloud-native data and AI platforms leveraging AWS to support advanced analytics and machine learning initiatives.
  • Develop robust ETL/ELT workflows, ensuring data quality, governance, security, and compliance across distributed systems.
  • Collaborate with business units to gather requirements and translate them into technical specifications for reporting and data solutions.
  • Partner with cross-functional teams, including data architects, business analysts, and application developers, to ensure alignment of reporting and data solutions with organizational goals.
  • Ensure data accuracy, integrity, and compliance with MDHHS standards and policies.
  • Provide technical expertise in reporting tools and assist in troubleshooting and performance tuning of dashboards and reports.
  • Document processes, data flows, and reporting standards for ongoing maintenance and knowledge sharing.

Required Qualifications

·         Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field.

·         3+ years of experience in report development and data analysis within large-scale environments.

·         3+ years of experience in AI Data engineering with AWS platforms.

·         3+ years of experience in python, PySpark and Advanced Data Structures.

·         3+ years of experience in Teradata Data Warehouse and ETL utilities.

·         Experience in AWS cloud and AI platform.

·         Proficiency in SQL, Hummingbird BI/Query, SAP Business Objects, Tableau, and Power BI.

·         Strong experience with dashboard development and data visualization best practices.

·         Solid understanding of relational databases and data warehouse concepts, preferably Teradata.

·         Excellent analytical, problem-solving, and communication skills.


Preferred Qualifications

  • Experience with Medicaid or healthcare-related reporting.
  • Familiarity with performance optimization techniques for BI tools.
  • Experience in cloud data platforms (AWS, Azure, GCP) and integration with Teradata.
  • Ability to design and implement modern data architectures supporting advanced analytics and machine learning.
  • Familiarity with BI/reporting tools.
  • Exposure to Agile / DevOps methodologies.
  • Knowledge of data governance and compliance standards.
  • Bachelor's degree in computer science, software engineering or relevant field required.

Soft Skills

  • Strong interpersonal skills with the ability to collaborate effectively across teams and communicate technical concepts to non-technical stakeholders.
  • Excellent time management and organizational skills to handle multiple priorities and meet deadlines.
  • Adaptability and flexibility to work in a dynamic environment with evolving business needs.
  • Critical thinking and attention to detail to ensure accuracy and quality in reporting and analysis.
  • Proactive problem-solving approach and willingness to take initiative in improving processes and solutions.
  • Ability to foster a positive team environment and contribute to shared goals.