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Data Analyst Graduate Jobs in Michigan (NOW HIRING)

Data Engineer

Southfield, MI · On-site

$114K/yr

One (1) year in the position above, as a Data Analyst, as a Data Analyst Assistant, Data Engineer (ETL Developer), as a Graduate Research Assistant, or in a related occupation; Other Requirements:

Data Engineer (Python)

Auburn Hills, MI · On-site

$108K - $130K/yr

Bachelor's or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience. Unique Skills • Graduate degree in a related field, such as Computer Science or ...

$1.4K/wk

Goucher College's Graduate & Professional Studies seeks non-tenure-track adjunct faculty to teach ... Data Ethics (3 credits) This course provides a framework to analyze the ethical and fair use of big ...

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Data Analyst Graduate information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do data analyst graduate jobs pay per year?

As of Jul 3, 2026, the average yearly pay for data analyst graduate 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 Graduate vs Data Analyst?

AspectData Analyst GraduateData Analyst
Required CredentialsTypically a bachelor's degree in a related field; some internships or entry-level certificationsOften requires a bachelor's degree; certifications like SQL, Excel, or Tableau are common
Work EnvironmentEntry-level, training-focused, often in corporate or consulting settingsFull-time professional role, working with teams on data projects in various industries
Employer & Industry UsageInternships, graduate programs, entry-level roles in finance, marketing, techEstablished roles across finance, healthcare, tech, retail, and more

The main difference is that a Data Analyst Graduate is an entry-level position or program for recent graduates, focusing on learning and development. A Data Analyst is a more experienced professional responsible for analyzing data, creating reports, and supporting decision-making in organizations.

What are some common challenges Data Analyst Graduates face when transitioning from academic projects to real-world business data analysis?

One common challenge Data Analyst Graduates encounter is adapting to unstructured and messy real-world data, which often requires extensive cleaning and preprocessing before analysis can begin. Unlike academic datasets, business data may have inconsistencies, missing values, and complex relationships that require creative problem-solving. Additionally, graduates must learn to balance technical analysis with clear communication, translating insights into actionable recommendations for non-technical stakeholders. Collaborating effectively within cross-functional teams and managing tight deadlines are also key skills that take time to develop in a professional setting.

What are Data Analyst Graduates?

Data Analyst Graduates are individuals who have recently completed a degree or certification in data analysis, statistics, or a related field and are starting their careers in data analysis roles. They typically work with large sets of data to identify trends, generate reports, and provide actionable insights that help organizations make informed decisions. Data Analyst Graduates often use tools such as Excel, SQL, Python, or R to clean, analyze, and visualize data. Their work supports business strategies by uncovering patterns and solving real-world problems through data-driven approaches.

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

To thrive as a Data Analyst Graduate, you need a solid understanding of statistics, data manipulation, and analytical methods, typically gained through a 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. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly are essential soft skills that set candidates apart. These skills and qualities are crucial for extracting actionable insights from data and effectively supporting business decision-making.
What are the most commonly searched types of Data Analyst Graduate jobs in Michigan? The most popular types of Data Analyst Graduate jobs in Michigan are:
What job categories do people searching Data Analyst Graduate jobs in Michigan look for? The top searched job categories for Data Analyst Graduate jobs in Michigan are:
Infographic showing various Data Analyst Graduate job openings in Michigan as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.
Data Engineer

Data Engineer

Epitec

Southfield, MI • On-site

$114K/yr

Contractor

Posted 23 days ago


Job description

  • Location: Southfield, Michigan
  • Type: Contract
  • Job #104222

Employer: Epitec, Inc.
Position: Data Engineer (Job Code: 1391)
Duties : Responsible for supporting vehicle feature level performance sign-offs through data exploration and analysis of data collected from real-world evaluation drives; work with vehicle feature and function owners, as well as verification and validation (V&V) teams, to understand metrics and use cases and to develop and refine tools and scripts to detect and trace requirement failures and problematic scenarios in real-world data; track issues in JIRA; participate in regular meetings to monitor and report progress to management; develop and validate Active Safety and Driver Assistance Systems features and technologies through data exploration and analysis; support design verification plans by analyzing resulting data and delivering reports and dashboards demonstrating compliance with internal and external requirements; utilize and apply knowledge of Python, SQL, Shell scripting, MATLAB, C++, Embedded C, Airflow, Databricks, Teradata Vantage, Hadoop, GCP, AWS, Azure, Docker, Git, Tableau, QlikView, Qlik Sense, Alteryx, and Microsoft Office (Word, PowerPoint, Excel) to perform assigned duties; support and coordinate root-cause analysis with internal and external suppliers to ensure delivered systems improve user experience via data-driven reports, signal-level traces, and related mechanisms; and support the overall development of innovative data analysis methods for Advanced Driver Assistance System (ADAS) features.
Location: Southfield, Michigan and multiple undetermined worksites throughout the US;
Salary: $114,836 per year; Minimum Qualifications: Education: Masters - Data Science, Data Engineering, Computer Science, Computer Engineering, Electrical Engineering, Electrical and Computer Engineering, or in a related field of study (will accept equivalent foreign degree);
Training: None;
Experience: One (1) year in the position above, as a Data Analyst, as a Data Analyst Assistant, Data Engineer (ETL Developer), as a Graduate Research Assistant, or in a related occupation;
Other Requirements: Experience must include one (1) years use of all the following: Python, GCP, Hadoop, Azure, Tableau, Alteryx, AWS, C++, Git, Embedded C, SQL, and Docker.
Will also accept any suitable combination of education, training, and/or experience.
Employer Contact: Attn: HR Generalist
Epitec, Inc.
26555 Evergreen, Suite 1700
Southfield, MI 48076
All applicant resumes must reference above job code and be submitted via: 1 st ?Class U.S. Mail to: Savanna Krim, Human Resources Team Lead