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Entry Level Data Analyst Jobs in Macomb, MI (NOW HIRING)

Accenture

Data Protection, A/SA-Evergreen

Detroit, MI

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Pwc

AI & GenAI Data Scientist - Manager

Detroit, MI · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Cummins

Sourcing Analyst

Troy, MI

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins Inc.

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

Cummins Inc.

Sourcing Analyst

Troy, MI · On-site

Collects information, inputs, data from various sources and conducts analysis/simulations to ... College Job type : Entry Level Full Time Subfunction: NA Degree level : BS Educational Program

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Macomb, MI

Entry Level Data Analyst information

See Macomb, MI salary details

$12

$31

$59

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

As of Sep 5, 2026, the average hourly pay for entry level data analyst in Macomb, MI is $31.86, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $35.58 per hour, depending on experience, location, and employer.

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 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.

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.

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.

More about Entry Level Data Analyst jobs

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Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Macomb, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $66,275 per year, or $31.9 per hour.

End of Line Data Analyst & NVH Solution Set Developer

Groupe SEGULA Technologies SA

Auburn Hills, MI • On-site

$55 - $75/hr

Other

Posted 4 days ago

Job description

The End of Line (EOL) Data Analyst & NVH Solution Set Developer is an entry-level to early-career role focused on using Minitab, Microsoft Excel, and structured data analysis to support the monitoring, analysis, and improvement of production end-of-line data systems. In this role, you will develop interim and permanent corrective action solution sets for complex noise, vibration, and harshness (NVH) challenges. You will partner with engineering, manufacturing, quality, calibration, validation, and plant operations teams to ensure EOL data is accurate, actionable, and effectively used to identify trends, resolve issues, and drive continuous improvement.

Key Responsibilities

  • Develop data-driven interim and permanent corrective action solution sets for complex noise and vibration challenges based on EOL data trends, statistical analysis, NVH findings, root-cause inputs, and cross-functional engineering feedback.

  • Monitor daily end-of-line test results, production data, and summary reports to identify statistically significant trends, recurring failure modes, population shifts, and emerging quality concerns.

  • Translate EOL and NVH analysis into practical containment actions, test adjustments, process recommendations, issue-screening logic, and longer-term corrective action paths.

  • Utilize Microsoft Excel and Minitab to analyze EOL test stand and production measurement datasets, emphasizing trend analysis, population comparisons, control charts, capability studies, and pass/fail performance.

  • Perform basic to intermediate statistical analysis, including data sorting, filtering, pivot tables, summary statistics, distribution reviews, outlier checks, control limits, process capability, regression, and variation studies.

  • Support the development and maintenance of dashboards, Excel-based trackers, Minitab studies, reports, and data visualization tools that communicate EOL performance to plant stakeholders.

  • Assist with EOL limit setting and validation by reviewing population statistics, measurement variation, normality, capability, control chart behavior, false-fail risk, and pass/fail margins.

  • Work with engineering and manufacturing teams to validate measurement outputs and support proper interpretation of EOL results.

  • Provide timely analysis and supporting data during launch, production ramp-up, quality spills, audit findings, and issue resolution activities.

  • Document analysis methods, reporting processes, lessons learned, and standard work for repeatable EOL data review.

Work Arrangement:

On-site / Plant-facing - travel to plants is required

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