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Senior Data Analytics Engineer Jobs in Michigan (NOW HIRING)

Senior Data Analyst

Lansing, MI

$78K - $98K/yr

Senior Data Analyst Who we are... We are a team of scientists, engineers, technicians, and ... Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, or a ...

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data Engineer #1061723 Position Summary: The Michigan Department of Technology, Management ... Analyze project, portfolio, financial, schedule, resource, governance, and operational data to ...

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

Senior Data Analyst Location: Detroit, MI (Hybrid) Duration: 12 Month Contract Job Summary The ... analytics Knowledge of data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms ...

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data Engineer Job Location: Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 ... Strong experience in project management reporting and portfolio analytics. * Hands-on experience ...

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data EngineerJob Location: Lansing, MI (Hybrid)Job Type: Contract / Requirement:3-7 years of ... Strong experience in project management reporting and portfolio analytics.Hands-on experience with ...

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data EngineerJob Location: Lansing, MI (Hybrid)Job Type: Contract / Requirement: * 3-7 years ... Strong experience in project management reporting and portfolio analytics. * Hands-on experience ...

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Showing results 1-20

Senior Data Analytics Engineer information

See Michigan salary details

$70.6K

$110.1K

$152.5K

How much do senior data analytics engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for senior data analytics engineer in Michigan is $110,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $125,500.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

What are the most commonly searched types of Data Analytics Engineer jobs in Michigan?

The most popular types of Data Analytics Engineer jobs in Michigan are:

What are popular job titles related to Senior Data Analytics Engineer jobs in Michigan?

For Senior Data Analytics Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Michigan look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Michigan are:

What cities in Michigan are hiring for Senior Data Analytics Engineer jobs?

Cities in Michigan with the most Senior Data Analytics Engineer job openings:

Infographic showing various Senior Data Analytics Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $110,107 per year, or $52.9 per hour.

$78K - $98K/yr

Full-time

Re-posted 12 hours ago


Job description

Senior Data Analyst
Who we are…
We are a team of scientists, engineers, technicians, and innovators dedicated to changing the world by developing medical isotopes to treat and eradicate cancer. We believe in building an environment where collaboration, curiosity, and camaraderie thrive. We also enjoy darts, cornhole, ping-pong, chili cook-offs, and other fun events that makes our company a community where we make a life, not just a living.
Who you are…
You are a data-driven problem solver who enjoys transforming raw information into clear, actionable insights. You thrive in collaborative environments, ask great questions, and enjoy gaining deep understanding of how various processes work.
You are skilled at building dashboards, modeling data, and clarifying the story behind the numbers. You love designing reports that real people rely on every day and you care about data accuracy, structure, and usability. Words that describe you are analytical, curious, precise, proactive, and customer-focused.
What you can expect to work on…
The Senior Data Analyst serves as the primary owner of analytics, reporting, and data insights across the organization. This role blends business-facing analysis with technical data modeling to support various teams.
The Senior Data Analyst develops Power BI dashboards, performs advanced analysis, improves data accessibility, and builds repeatable workflows using Power Apps, Power Automate, and SQL. The role partners closely with subject matter experts to define reporting requirements, translate operational needs into analytics solutions, and promote consistent use of data across Niowave.
  • Develop, maintain, and optimize Power BI dashboards, reports, and datasets for cross-functional teams
  • Build semantic models, DAX measures, dataflows, and reusable data structures
  • Translate operational and quality requirements into reliable and audit-ready analytics outputs
  • Write SQL queries to extract, transform, and analyze data from internal systems
  • Perform data validation, cleansing, and consistency checks
  • Build analytics and dashboards using data from MasterControl, SharePoint, and other internal platforms
What you need to succeed…
  • Embraces and models the Niowave Core Values of Teamwork, Courage, Integrity, and Upright Zeal
  • Understands how to integrate into a new team/organization – appreciates the history of current state, know how and when to make suggestions, as well as using just the right pace to reach the improved future state
  • Understands your own communication and learning styles, can assess others’ styles, and is able to find the right path to best connect with colleagues
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Engineering, or a related technical field; or equivalent experience
  • 8+ years of experience in data analytics, business intelligence, or a related field
  • Advanced proficiency with Power BI, including DAX, data modeling, and dataflows
  • Strong SQL skills for querying and transforming data
  • Experience with Power Apps and Power Automate
  • Experience building reports using data from SharePoint, MasterControl, or similar platforms
  • Experience with Azure SQL and/or Azure analytics tools at the user level
  • Ability to document analyses, models, and workflows clearly
Great to have…
  • 10+ years of experience in data analytics, business intelligence, or a related field Experience supporting analytics in regulated, manufacturing, or laboratory environments
  • Experience preparing data requirements for ERP implementations
  • Familiarity with MasterControl reporting structures
  • Experience with Python for analysis or automation
Other things to know…
  • Full-time position
  • Niowave’s standard operating hours are Monday – Friday 6:00 a.m. – 6:00 p.m. with production related activities requiring 24/7/365 shifts
  • This position will have regular working hours during Monday - Friday with an expectation of adjusting to working outside of the standard operating hours as needed
  • Niowave has multiple locations within the Lansing area and travel between locations is expected in the role
Please provide a cover letter specifically describing the nature of your background and experience as it relates to this position.