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Senior Data Analyst Jobs in Michigan (NOW HIRING)

Senior Data Analyst

Lansing, MI · On-site

$78K - $98K/yr

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 ...

Sr Data Analyst

Jackson, MI · On-site

$78K - $98K/yr

The Senior Data Analyst plays a critical role in developing, enhancing, and maintaining standardized company data models. This position requires familiarity with at least one data domain and subject ...

Senior Data Analyst - Product

Detroit, MI · On-site

$85K - $107K/yr

As a Senior Data Analyst for Rocket Loans, you'll be a strategic partner to our leadership, collecting, analyzing, and reporting on data that drives operational excellence. You'll work closely with ...

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the design, development, and implementation of cutting-edge machine learning models and algorithms to ...

Sr. Data Analyst-Materials Management

Farmington Hills, MI · On-site

$84K - $106K/yr

What you can look forward to as Senior Data Analyst- Materials Management: * Lead data analysis using Microsoft Access, Excel, and other tools to support corporate initiatives and datadriven decision ...

Lead in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. The Senior Data Scientist is the subject matter expert with an ...

Senior Data Architect

Detroit, MI · On-site

$66.50 - $89/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Experience: 10+ years of experience in data architecture, data analysis, or related IT roles, with ...

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Senior Data Analyst information

See Michigan salary details

$47.9K

$86.5K

$118.1K

How much do senior data analyst jobs pay per year?

As of Jul 30, 2026, the average yearly pay for senior data analyst in Michigan is $86,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $94,600.00 per year, depending on experience, location, and employer.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a Senior Data Analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Michigan? The most popular types of Data Analyst jobs in Michigan are:
What job categories do people searching Senior Data Analyst jobs in Michigan look for? The top searched job categories for Senior Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Senior Data Analyst jobs? Cities in Michigan with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Michigan as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $86,489 per year, or $41.6 per hour.

Senior Data Analyst

Niowave Inc.

Lansing, MI • On-site

$78K - $98K/yr

Full-time

Re-posted 26 days 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.