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Data Analytics Jobs in Lansing, MI (NOW HIRING)

Niowave Inc.

Senior Data Analyst

Lansing, MI

$78K - $98K/yr

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 ...

Munich Re

Sr. Solution Architect

Lansing, MI

This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise. The Enterprise ...

FastTek

Data Analyst

Okemos, MI

Data Analyst #1058274 ... We are seeking an Analytics Engineer (contract) to support development of scalable analytics ...

Global Information Technology

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Strong experience in project management reporting and portfolio analytics.Hands-on experience with SQL, data integration, ETL, and data transformation.Experience developing dashboards and executive ...

Agile Tech Labs

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Strong experience in project management reporting and portfolio analytics. * Hands-on experience with SQL, data integration, ETL, and data transformation. * Experience developing dashboards and ...

FastTek

Data Warehouse Architect

Lansing, MI

The MDHHS/DTMB AS Analytics and Visualization Division is seeking a Senior ETL Developer with extensive experience in IBM DataStage, IBM Cloud Pak for Data (CP4D), and Teradata 20. The resource will ...

Staffactory

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

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 ...

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All JobsData Analytics JobsData Analytics Jobs in Lansing, MI

Data Analytics information

See Lansing, MI salary details

$22

$49

$86

How much do data analytics jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data analytics in Lansing, MI is $49.88, according to ZipRecruiter salary data. Most workers in this role earn between $40.10 and $56.49 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Lansing, MI?

The most popular types of Data Analytics jobs in Lansing, MI are:

What are popular job titles related to Data Analytics jobs in Lansing, MI?

For Data Analytics jobs in Lansing, MI, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Lansing, MI look for?

The top searched job categories for Data Analytics jobs in Lansing, MI are:

What cities near Lansing, MI are hiring for Data Analytics jobs?

Cities near Lansing, MI with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Lansing, MI as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $103,746 per year, or $49.9 per hour.

Senior Data Analyst

Niowave Inc.

Lansing, MI

$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.

Apply