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

Responsible for accuracy and completeness of application and product data in all publications ... Benefits-US/CH_CN_DI_IB_LI_MA_MP_MW_OB_PH Entry level: Experienced hires Part- / Full-time: ...

Analyst

Detroit, MI · On-site

We empower our clients to turn overwhelming industry data into discovery, action and measured ... Coordinates with individuals or teams to complete analyses, tasks and projects on time and with ...

NGK Automotive Ceramics, USA Inc. is seeking an entry level accountant for our Novi, MI sales ... Data entry skills along with analytical thinking. * Hands-on experience and proficiency with MS ...

NGK Automotive Ceramics, USA Inc. is seeking an entry level accountant for our Novi, MI sales ... Data entry skills along with analytical thinking. * Hands-on experience and proficiency with MS ...

Showing results 21-40

Entry Level Data Analyst information

See Detroit, MI salary details

$12

$30

$56

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

As of Aug 12, 2026, the average hourly pay for entry level data analyst in Detroit, MI is $30.13, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $33.65 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 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.

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 the most commonly searched types of Data Analyst jobs in Detroit, MI? The most popular types of Data Analyst jobs in Detroit, MI are:
What job categories do people searching Entry Level Data Analyst jobs in Detroit, MI look for? The top searched job categories for Entry Level Data Analyst jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Entry Level Data Analyst jobs? Cities near Detroit, MI with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $62,665 per year, or $30.1 per hour.

Internship

Re-posted 6 days ago


Job description

GRS is searching for actuarial Analyst Interns to work in its’ Southfield, Michigan office. These positions will assist our pension consulting team in providing employee benefit services to our public sector clients. The expected start date will be mutually agreed upon based on the availability of the selected individual and GRS.
The Primary Responsibilities of our entry level actuarial positions at GRS are as follows:
  • Prepare client information and data for analysis
  • Prepare and complete actuarial valuations with direction from consultants
  • Calculate benefits for retiring and terminating members
  • Prepare and complete special studies and analyses for clients
  • Prepare and handle routine correspondence and phone contact with clients
  • Provide other non-recurring assistance as directed by Team Leader or consultants
We ask that candidates have the following knowledge, skills and abilities:
  • Progress toward or achievement of a BA/BS in Mathematics, Statistics, Economics, Business Administration or related field,
  • Successful completion of one or more actuarial exams,
  • Strong communication skills,
  • Strong analytical skills,
  • Attention to detail,
  • Advanced knowledge/proficiency in Microsoft Office applications including Excel, Word, PowerPoint and Access,
  • Ability to work both individually and as part of a team.
GRS is an E-Verify amp; Equal Opportunity Employer