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Data Analyst Starting Jobs in Michigan (NOW HIRING)

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

... data analysis within large-scale environments. · 3+ years of experience in AI Data engineering ... Non-local candidates must be willing to relocate starting Day 1. Please ensure you confirm prior to ...

... and efficiency starting from gathering requirements from stakeholders to partnering with data ... Bachelor's degree in Data Analysis, Statistics, Information Technology, or Computer Science. * 5+ ...

... and efficiency starting from gathering requirements from stakeholders to partnering with data ... Bachelor's degree in Data Analysis, Statistics, Information Technology, or Computer Science. * 5+ ...

$1.4K/wk

The course will be offered synchronously online (via Teams), starting on August 25, 2026. The ... Data Ethics (3 credits) This course provides a framework to analyze the ethical and fair use of big ...

$1.4K/wk

The course will be offered synchronously online (via Teams), starting on August 25, 2026. The ... Data Ethics (3 credits) This course provides a framework to analyze the ethical and fair use of big ...

Senior Data and AI Specialist

Detroit, MI · On-site

$117K - $150K/yr

We Take Care of Our Team Position offers a starting salary range of $117,000 - $150,000 USD Pay ... Data Science Engineering & Analytics Delivery * Build, support, and guide solutions across data ...

Data Architect

Farmington Hills, MI · On-site

$62.75 - $80.75/hr

In addition, all candidates should show progressive experience starting as a Developer and moving ... analyze/profile data, create conceptual, logical & physical data model designs, architect and ...

QR's reputation for product data management and consultancy has put us at the vanguard of ... A starting salary of $55,000 * A highly motivated, diverse, talented and supportive team with a ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... Must be a US Citizen and be able to obtain and maintain a Public Trust clearance prior to starting ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... Must be a US Citizen and be able to obtain and maintain a Public Trust clearance prior to starting ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... Must be a US Citizen and be able to obtain and maintain a Public Trust clearance prior to starting ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... Must be a US Citizen and be able to obtain and maintain a Public Trust clearance prior to starting ...

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Showing results 1-20

Data Analyst Starting information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do data analyst starting jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data analyst starting 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 is the difference between Data Analyst Starting vs Data Analyst?

AspectData Analyst StartingData Analyst
Required CredentialsBachelor's degree in related field, basic Excel, SQL, and data visualization skillsSame as starting, often with additional certifications or experience
Work EnvironmentEntry-level, training-focused, team collaborationMore independent, project-driven, with increased responsibilities
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles with broader scope and complex data analysis tasks

The main difference between Data Analyst Starting and Data Analyst roles lies in experience and responsibility. Starting positions are designed for beginners with foundational skills, while Data Analysts typically have more experience, handle complex projects, and contribute more significantly to decision-making processes.

How can I start my career as a data analyst?

To start a career as a data analyst, develop skills in data manipulation, statistical analysis, and visualization using tools like Excel, SQL, and Python or R. Obtain relevant education such as a bachelor's degree in a related field and consider certifications like the Microsoft Certified Data Analyst Associate to enhance your qualifications.

How do you become a data analyst with no experience?

To become a data analyst with no experience, focus on developing skills in data analysis tools like Excel, SQL, and programming languages such as Python or R. Completing online courses, earning certifications, and working on personal or volunteer projects can help build a portfolio and demonstrate your abilities to employers.

How much does a beginner data analyst earn?

A beginner data analyst typically earns between $50,000 and $70,000 annually, depending on location, industry, and education. Entry-level roles often require proficiency in tools like Excel, SQL, or Python, and may include internships or certifications to enhance prospects.
Infographic showing various Data Analyst Starting job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Programmer Analyst 6

Staffactory

Lansing, MI • On-site

$58 - $63/hr

Full-time

Re-posted 24 days ago


Job description

Position: Programmer Analyst 6
Location: Lansing, MI 48933
Minimum Education Level: Bachelor's Degree
 
 
 
We are looking for a Programmer Analyst 6.
 
Top Skills & Years of Experience: 
·         Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field.
·         3+ years of experience in report development and data analysis within large-scale environments.
·         3+ years of experience in AI Data engineering with AWS platforms.
·         3+ years of experience in python, PySpark and Advanced Data Structures.
·         3+ years of experience in Teradata Data Warehouse and ETL utilities.
·         Experience in AWS cloud and AI platform.
·         Proficiency in SQL, Hummingbird BI/Query, SAP Business Objects, Tableau, and Power BI.
·         Strong experience with dashboard development and data visualization best practices.
·         Solid understanding of relational databases and data warehouse concepts, preferably Teradata.
·         Excellent analytical, problem-solving, and communication skills.
 
Will close submissions on: 3/3 at 10am EST
Interview Process: MS Teams Video Interviews
Duration: 1 year with possible extension
Hybrid: Resource will be working a hybrid schedule. NO REMOTE ONLY OPTION. Will need to be onsite from day 1, two days a week (Wed/Thur ONSITE). 
Open to local and non local. Non-local candidates must be willing to relocate starting Day 1. Please ensure you confirm prior to submitting. 
 

Job Summary

We are seeking an experienced Senior Report Developer to serve as a Data Analyst and Dashboard Developer within the MDHHS Analytics and Visualization Division. This role focuses on analyzing complex datasets, generating actionable insights, and developing interactive dashboards using Power BI, SAP BusinessObjects, Crystal Reports, and BI Query. 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 data processing initiatives. The ideal candidate will have strong analytical skills, proficiency in reporting tools, and the ability to translate business requirements into effective data visualizations and scalable data solutions.


Key Responsibilities

  • Analyze large and complex datasets to identify trends, patterns, and actionable insights for business stakeholders.
  • Design, develop, and maintain interactive dashboards and reports using Power BI, SAP BusinessObjects, and Crystal Reports.
  • Develop and optimize SQL queries and scripts for data extraction and transformation.
  • Create and optimize queries in Hummingbird BI Query to support business intelligence and data analysis requirements.
  • Architect and implement end-to-end data pipelines using AWS services such as Amazon S3, Glue, Lambda, EMR, Redshift, Kinesis, and SageMaker.
  • Design, build, and optimize scalable cloud-native data and AI platforms leveraging AWS to support advanced analytics and machine learning initiatives.
  • Develop robust ETL/ELT workflows, ensuring data quality, governance, security, and compliance across distributed systems.
  • Collaborate with business units to gather requirements and translate them into technical specifications for reporting and data solutions.
  • Partner with cross-functional teams, including data architects, business analysts, and application developers, to ensure alignment of reporting and data solutions with organizational goals.
  • Ensure data accuracy, integrity, and compliance with MDHHS standards and policies.
  • Provide technical expertise in reporting tools and assist in troubleshooting and performance tuning of dashboards and reports.
  • Document processes, data flows, and reporting standards for ongoing maintenance and knowledge sharing.

Required Qualifications

·         Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field.

·         3+ years of experience in report development and data analysis within large-scale environments.

·         3+ years of experience in AI Data engineering with AWS platforms.

·         3+ years of experience in python, PySpark and Advanced Data Structures.

·         3+ years of experience in Teradata Data Warehouse and ETL utilities.

·         Experience in AWS cloud and AI platform.

·         Proficiency in SQL, Hummingbird BI/Query, SAP Business Objects, Tableau, and Power BI.

·         Strong experience with dashboard development and data visualization best practices.

·         Solid understanding of relational databases and data warehouse concepts, preferably Teradata.

·         Excellent analytical, problem-solving, and communication skills.


Preferred Qualifications

  • Experience with Medicaid or healthcare-related reporting.
  • Familiarity with performance optimization techniques for BI tools.
  • Experience in cloud data platforms (AWS, Azure, GCP) and integration with Teradata.
  • Ability to design and implement modern data architectures supporting advanced analytics and machine learning.
  • Familiarity with BI/reporting tools.
  • Exposure to Agile / DevOps methodologies.
  • Knowledge of data governance and compliance standards.
  • Bachelor's degree in computer science, software engineering or relevant field required.

Soft Skills

  • Strong interpersonal skills with the ability to collaborate effectively across teams and communicate technical concepts to non-technical stakeholders.
  • Excellent time management and organizational skills to handle multiple priorities and meet deadlines.
  • Adaptability and flexibility to work in a dynamic environment with evolving business needs.
  • Critical thinking and attention to detail to ensure accuracy and quality in reporting and analysis.
  • Proactive problem-solving approach and willingness to take initiative in improving processes and solutions.
  • Ability to foster a positive team environment and contribute to shared goals.