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Environmental Data Analyst Jobs in Michigan (NOW HIRING)

Role: Jr. IT Data Analyst Location: Warren, MI Duration: Long term Rate: Market Required ... Experience working with big data in a cloud environment , particularly Azure and Databricks

Strong data analysis, problem solving, and technical writing skills. * Proficiency in technical report writing and environmental data interpretation. * Experience with Microsoft Office Suite, GIS ...

Strong data analysis, problem solving, and technical writing skills. * Proficiency in technical report writing and environmental data interpretation. * Experience with Microsoft Office Suite, GIS ...

Strong data analysis, problem solving, and technical writing skills. * Proficiency in technical report writing and environmental data interpretation. * Experience with Microsoft Office Suite, GIS ...

Knowledge of Qlik Cloud environment is plus * Leverage other data analysis tools and techniques as needed. * Maintain and improve existing Qlik applications. * Assist in the implementation and ...

... environment. USM has offices throughout the US and offshore delivery centers in India. USM is a ... Data Analyst Southfield, MI 6+ Months Need GC and USC we're looking for candidates with 3-5+ years ...

Showing results 41-60

Environmental Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do environmental data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for environmental data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What does an environmental data analyst do?

An Environmental Data Analyst collects, processes, and interprets environmental data to assess trends, monitor ecosystems, and support sustainability initiatives. They work with large datasets from sources like air quality monitors, water testing stations, and climate sensors. Using statistical and analytical tools, they identify patterns, create reports, and provide insights to help organizations make informed environmental decisions. Their work is essential in regulatory compliance, conservation efforts, and climate change research.

What are the key skills and qualifications needed to thrive as an environmental data analyst?

To thrive as an Environmental Data Analyst, you need a strong background in environmental science, statistics, and data analysis, often supported by a relevant bachelor's or master's degree. Familiarity with data analysis tools such as R, Python, GIS software, and database management systems, as well as certifications like Certified Environmental Data Scientist (CEDS), are highly beneficial. Attention to detail, problem-solving abilities, and effective communication skills help individuals excel in interpreting data and presenting findings to stakeholders. These competencies are crucial for ensuring accurate environmental assessments and supporting data-driven decision-making within organizations and regulatory frameworks.

What are the main challenges environmental data analysts face in their daily work?

One of the main challenges Environmental Data Analysts encounter is managing and interpreting large, complex datasets from diverse sources such as sensors, surveys, and monitoring equipment. Ensuring data accuracy, dealing with incomplete or inconsistent information, and keeping up with evolving environmental regulations can be demanding. Collaborating with multidisciplinary teams—such as engineers, project managers, and regulators—also requires strong communication skills to turn raw data into actionable insights. However, these challenges make the work dynamic and provide opportunities for continuous learning and professional growth.

What are the most commonly searched types of Environmental Data Analyst jobs in Michigan?

The most popular types of Environmental Data Analyst jobs in Michigan are:

What are popular job titles related to Environmental Data Analyst jobs in Michigan?

For Environmental Data Analyst jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Environmental Data Analyst jobs?

Cities in Michigan with the most Environmental Data Analyst job openings:

Infographic showing various Environmental Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, 4% Contract, and 2% Nights. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Senior Finance Data Engineer / Data Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 19 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 44 rated automakers


Job description

We are seeking a Finance Data Engineer / Data Analyst to support the FP&A organization by developing and maintaining Power BI-based financial reporting and analytics solutions. The ideal candidate will have strong data management and modeling skills, paired with a foundational understanding of financial concepts.
Responsibilities Include:
  • Manage the full Power BI data lifecycle: from data extraction and transformation (Bronze/Silver layers) to semantic modeling and dashboard development (Gold layer)
  • Ensure data accuracy, performance, and security across all FP&A reporting tools
  • Handle user access and role-level security within Power BI Service

Key Skills & Requirements:
  • Advanced proficiency in Power BI, Power Query, and DAX
  • Experience integrating data from multiple sources (e.g., Excel, CSV, ERP systems like SAP or OneStream)
  • Ability to clean, transform, and standardize data into analytics-ready models
  • Experience deploying and maintaining dashboards in Power BI Service
  • Basic understanding of financial reporting structures (e.g., P&L, revenue, cost, variance analysis)
  • Strong analytical mindset with attention to data accuracy, consistency, and performance optimization

Basic Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Financial Technology or a related field
  • Minimum of 5 years' extensive experience with PowerBI
  • Minimum of 8 years' overall relevant work experience
  • Thrive in a fast-paced, dynamic work environment

Preferred Qualifications:
  • Power BI certification or similar credentials
  • Experience with ETL tools or scripting languages (e.g., SQL, Python) for advanced data transformation
  • Experience with Onestream, SAP or Oracle tools

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