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Data Analyst Tech Jobs in Michigan (NOW HIRING)

USM

Data Analyst-----Need GC and USC

Southfield, MI · On-site

... apply technology - on the people leading, supporting and optimizing your IT initiatives. USM ... Data Analyst Southfield, MI 6+ Months Need GC and USC we're looking for candidates with 3-5+ years ...

Intertek

Strategic Market Analyst

Kentwood, MI

... seeking a Data Analyst to join our Transportation Technologies team in Kentwood . This is a fantastic opportunity to grow a versatile career in the ATIC industry. Intertek's Transportation ...

OpTech

Data Science Analyst (VB/SQL)

Detroit, MI · Remote

Data Science Analyst Why work at OpTech? OpTech is a woman-owned company that values your ideas ... This role will coordinate efforts across IT, Account Services, Sales, and Underwriting to ensure ...

G-TECH Services

Be Seen First

Medicare Analytics Specialist Hybrid

Detroit, MI · On-site

$43 - $47/hr

HYBRID- Must live in SE Michigan to work in Detroit, MI Healthcare Data Analyst to review- research ... When you work at G-Tech, not only do you get health and dental benefits, but you also have training ...

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All JobsData Analyst Tech JobsData Analyst Tech Jobs in Michigan

Data Analyst Tech information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do data analyst tech jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data analyst tech 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 jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior data analysts, data science managers, and chief data officers can earn $500,000 or more annually, especially with extensive experience, advanced skills in analytics tools, and leadership responsibilities. These positions often require advanced degrees, certifications, and a track record of delivering strategic insights that impact business decisions.

What are some common challenges Data Analyst Tech professionals face when working with large datasets?

Data Analyst Tech professionals often encounter challenges such as ensuring data quality, managing inconsistencies, and handling missing or incomplete information when working with large datasets. Additionally, optimizing data processing for speed and efficiency can be demanding, especially when using complex analytical tools. Collaborating closely with IT and engineering teams is crucial to address these challenges and maintain data integrity throughout all stages of analysis.

Is a data analyst a tech job?

Yes, a data analyst is considered a tech job because it involves working with data, using tools like SQL, Excel, and data visualization software, and often requires understanding of programming languages such as Python or R. The role typically involves analyzing large datasets to support business decisions in a technology-driven environment.

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

To thrive as a Data Analyst Tech, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like computer science, mathematics, or information technology. Experience with data visualization tools (like Tableau or Power BI), SQL databases, and programming languages such as Python or R is typically required, along with certifications like Microsoft Certified Data Analyst Associate. Exceptional attention to detail, critical thinking, and effective communication are highly valued soft skills for interpreting data and sharing insights. Mastery of these skills ensures accurate data-driven decision-making and clear communication of findings to stakeholders.

Is 40 too late for data science?

Data Analyst roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, R, and SQL, along with gaining certifications or practical experience, can help establish a successful career regardless of age.

What are Data Analyst Techs?

Data Analyst Techs are professionals who use technical tools and methods to collect, process, and interpret data to help organizations make informed decisions. They often work with large datasets, using programming languages like Python or SQL, and data visualization tools to uncover trends and insights. Their work supports business strategies, identifies opportunities for improvement, and helps solve complex problems. Data Analyst Techs typically collaborate with other teams to ensure data accuracy and relevance, and to communicate their findings effectively.

What jobs pay 200,000 a year in the USA?

Data analysts typically do not earn $200,000 annually unless they hold senior or specialized roles, such as data science managers or analytics directors, often requiring advanced skills in programming, machine learning, and business strategy. High-paying roles in related fields include data scientists, software engineers, and IT managers, especially with extensive experience, certifications, and leadership responsibilities.
What are popular job titles related to Data Analyst Tech jobs in Michigan? For Data Analyst Tech jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Analyst Tech jobs in Michigan look for? The top searched job categories for Data Analyst Tech jobs in Michigan are:
Data Analyst Tech jobs near you
Infographic showing various Data Analyst Tech job openings in Michigan as of June 2026, with employment types broken down into 2% As Needed, 81% Full Time, 2% Part Time, 14% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.
Data Engineer / Business Intelligence Specialist

Data Engineer / Business Intelligence Specialist

Kalsec, Inc.

Kalamazoo, MI • On-site

$48.25 - $62.75/hr

Full-time

Posted 14 days ago

Job description

Job Summary:
This role is responsible for developing and integrating data from multiple source systems, supporting the operation and reliability of the organization's Business Intelligence (BI) platform. This role focuses on developing global reports, performing multi-system data mining, and ensuring high availability and performance of BI solutions. The BI Specialist works closely with the Director of Information Services, the Data Warehouse and Analytics Manager, Data Scientists, Data Analysts, business process owners, and other stakeholders. In this role, they identify business needs, recommend solutions, and design, implement, and support BI and analytics capabilities. These solutions deliver timely, actionable insights that enable faster and more informed business decisions.
Essential Job Responsibilities:
Data Engineering & Analytics
  • Gather and document requirements for ETL processes into SnowKAP (Kalsec Analytics Platform), the company's cloud-based data warehouse, from a wide range of source systems.
  • Collaborate with directors, managers, developers, and end users to design and deliver dashboards, metrics, reports, and analytics solutions.
  • Analyze and evaluate business systems, workflows, and procedures to identify improvement opportunities.
  • Ensure efficient and consistent use of data resources across global business units.
  • Contribute to short- and long-term BI and analytics strategy development.
  • Recommend improvements to enhance scalability, performance, and growth of the BI/KAP architecture.
  • Develop and maintain semantic layers, metadata, reports, and report definitions.
  • Research emerging data technologies to support future data management initiatives.
  • Utilize BI and database platforms including SAP Business Objects, Cognos, Power BI, Tableau, DB2, Oracle, Teradata, MySQL, SAP HANA, PostgreSQL, and Snowflake.

BI Platform Operations
  • Support deployment, monitoring, maintenance, enhancement, and upgrades of BI and SnowKAP systems.
  • Develop and maintain global maintenance schedules for BI and data warehousing platforms.
  • Establish best practices for issue resolution in a high-availability, 24/7 global environment.
  • Troubleshoot BI tools and applications, and perform performance tuning.
  • Ensure change management activities comply with organizational standards.
  • Communicate regularly with executives, department leaders, and end users to support data-driven decision making.
  • Design and deliver end-user training and documentation, and provide ongoing technical support.

Qualifications:
Bachelor's degree with 2-4 years related experience or equivalent combination of education and experience.
Required
  • Education in Computer Science, Computer Engineering, Information Systems, or a related field.
  • Professional experience in one or more of the following roles: Data Engineer, Data Analyst, BI Developer (including Senior BI Developer), Business Objects Administrator, Business Systems Analyst, Technology Functional Lead, Programmer Analyst, or a closely related position.
  • Proficiency in writing simple to complex SQL (Structured Query Language).
  • Experience with SAP Business Objects and Power BI.
  • Strong understanding of data warehouse concepts.
  • Advanced proficiency in Python for ETL development.
  • Hands-on experience with Snowflake.
  • Experience with ERP systems, preferably Infor M3.
  • Familiarity with AWS or other cloud platforms.
  • Strong problem-solving and analytical skills.
  • Ability to work independently as well as collaboratively in cross-functional team environments.
  • Excellent written, verbal, and technical documentation skills.

Desired
  • Experience designing, developing, and maintaining Python-based ETL processes to integrate data from multiple source systems.
  • Proven ability to enhance and optimize existing ETL applications to support new integrations and improve performance.
  • Experience managing, monitoring, and optimizing data pipelines within Snowflake.
  • Knowledge of data quality, security, and scalability best practices in cloud environments (AWS preferred).
  • Experience building new dashboards and migrating legacy SAP Business Objects reports to Power BI.
  • Strong collaboration skills with business stakeholders to design intuitive, actionable BI solutions.
  • Hands-on experience extracting and transforming data from ERP systems such as Infor M3 for analytics and reporting.
  • Snowflake certification.
  • Experience modernizing or migrating legacy BI platforms to cloud-based or modern analytics solutions.

Working Conditions:
  • On-call availability
  • Overtime hours may be required
  • Sitting for extended periods of time
  • Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices
  • Ability to lift computers, monitors, and other peripherals

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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About Kalsec

Sourced by ZipRecruiter

Industry

Food services and drinking places

Company size

201 - 500 Employees

Headquarters location

Kalamazoo, MI, US

Year founded

1958

Social media

Twitter

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