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Entry Level Data Analyst Jobs in Michigan (NOW HIRING)

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The Data Analyst / Front‑End App Developer is responsible for designing, building, and ... Self-motivated, resourceful, and organized in managing complex work Employment Type Entry Level ...

MAHLE

Controlling Analyst

Farmington Hills, MI · On-site

Review financial data and analyze variances vs. plan/forecast. * Support month-end close and ... COM US Facts about the job Benefits: Entry level: Experienced hires Part- / Full-time: Full Time ...

Brooksource

Jr. Business Analyst

Wyoming, MI · On-site

$28 - $32/hr

Basic data analysis and business performance reporting skills * Detail-oriented approach to documenting meetings, decisions, and requirements WHAT'S IN IT FOR YOU * Full-time, entry-level IT career ...

KODE Labs

Operations Analyst (Entry-Level)

Detroit, MI · On-site

... data structures to reduce manual effort and increase clarity in day-to-day work of the delivery ... Analyze operational data to identify inefficiencies, bottlenecks, and recurring execution gaps ...

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Entry Level Data Analyst information

See Michigan salary details

$11

$28

$53

How much do entry level data analyst jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for entry level data analyst in Michigan is $28.70, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $32.07 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
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Entry Level Data Analyst jobs near you
Data Analyst / Front End

Data Analyst / Front End

Stellantis

Auburn Hills, MI

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 126 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

The Data Analyst / Front‑End App Developer is responsible for designing, building, and maintaining analytics and front‑end data applications that support Purchasing data products.​ The role focuses on turning data into usable, consumable insights and tools, aligned with business needs and standard design practices.​

Working under the direction of a Data & AI Product Owner, the role contributes to the delivery of dashboards, KPIs, alerts, and front‑end applications that enable business users to access and act on Purchasing data efficiently.

Key Accountabilities include but not limited to:

  • Analytics & Front‑End Development​
  • Build dashboards, reports, and front‑end data applications aligned with product requirements​
  • Implement interactive views, filters, and user‑friendly interfaces within approved standards​
  • Ensure analytics outputs are clear, accurate, and aligned with business definitions​
  • Data Analysis & Validation
  • Analyze Purchasing data to identify trends, exceptions, and insights​
  • Validate data correctness and consistency in collaboration with Data Manager and Product Owner​
  • Support root‑cause analysis by surfacing data patterns and anomalies​
  • Product Delivery Support​
  • Translate Product Owner requirements into functional analytics deliverables​
  • Support testing, validation, and release of data products​
  • Contribute to incremental improvements based on user feedback and usage patterns​
  • Collaboration & Continuous Improvement​
  • Collaborate with data engineers, data scientists, and UX partners as required​
  • Apply feedback and lessons learned to improve future deliveries​
  • Follow agreed development, documentation, and quality practices​

Location(s)

1000 Chrysler Drive, Auburn Hills, Michigan 48326, United States

Requirements

Basic Qualifications:

Bachelor’s degree in business, Supply Chain Management, Finance, Marketing, Economics, International Business, Accounting, Entrepreneurship, or a related field.

Preferred Qualifications:

  • 1 year of work experience
  • Strong negotiation and strategic thinking skills
  • Excellent analytical, organizational, and communication abilities
  • Experience collaborating in cross-functional teams
  • Ability to identify and prioritize critical tasks
  • Self-motivated, resourceful, and organized in managing complex work

Employment Type

Entry Level

Stellantis

At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.

Our Benefits - Designed with You in Mind

Comprehensive Health & Well-being Coverage

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage - ensuring you and your family stay healthy and protected.

Generous Paid Time Off

We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24 th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We help you plan for the future with:

  • An employer match on contributions to your 401k, Roth, and Catch-Up plans
  • An employer contribution, even if you don’t contribute

Income Protection & Insurance Options

Benefit from included and optional disability, life, and other insurance programs - because your peace of mind matters.

Company Vehicle Lease Program

Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

  • Tuition reimbursement
  • Student loan refinancing programs
  • 18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you’re not just building a career - you’re joining a company that supports you, inside and outside of work.

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