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Data Analysis Intern Jobs in Rochester Hills, MI

Minimum of 5 years of relevant data analysis or business intelligence experience * Bachelor's degree in Business, Data Analytics, Information Systems, or a related technical discipline * Proficient ...

A degree in a quantitative field (Statistics, Math, CS, Economics, Physics) or equivalent technical experience. * 2+ years of experience in data analysis, with a proven track record in data wrangling ...

A degree in a quantitative field (Statistics, Math, CS, Economics, Physics) or equivalent technical experience. * 2+ years of experience in data analysis, with a proven track record in data wrangling ...

Responsibilities : • Develop and maintain Power BI dashboards and reporting solutions • Execute complex queries using Snowflake and SAS • Perform data analysis on warranty, repair order, and ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Power BI Intern

Warren, MI · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

... analysis skills (e.g., identifying data sources and needs) Communicates in a manner that conveys credibility and confidence that he/she will deliver to the customer. Ability to convey complex ideas ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

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

Systems Engineer Intern

Detroit, MI

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Support test planning, execution, and data analysis for system‑level and component‑level ...

Systems Engineer Intern

Detroit, MI · On-site

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Support test planning, execution, and data analysis for system-level and component-level validation.

Systems Engineer Intern

Detroit, MI

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Support test planning, execution, and data analysis for systemlevel and componentlevel validation.

Showing results 21-40

Data Analysis Intern information

See Rochester Hills, MI salary details

$11

$20

$38

How much do data analysis intern jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for data analysis intern in Rochester Hills, MI is $20.71, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.55 per hour, depending on experience, location, and employer.

What are some common challenges faced by Data Analysis Interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

What is the difference between Data Analysis Intern vs Data Analyst?

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

What Do Data Analysis Interns Do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What does a Data Analysis Intern do?

A Data Analysis Intern assists in collecting, processing, and interpreting data to help organizations make informed decisions. They often use tools like Excel, SQL, or Python to analyze datasets, create visualizations, and generate reports. Interns work under the supervision of experienced data analysts or data scientists, learning to apply statistical techniques and solve real-world business problems. This role provides hands-on experience in data analytics and helps interns develop valuable technical and analytical skills.

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

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.
What are the most commonly searched types of Data Analysis jobs in Rochester Hills, MI? The most popular types of Data Analysis jobs in Rochester Hills, MI are:
What job categories do people searching Data Analysis Intern jobs in Rochester Hills, MI look for? The top searched job categories for Data Analysis Intern jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Data Analysis Intern jobs? Cities near Rochester Hills, MI with the most Data Analysis Intern job openings:
Infographic showing various Data Analysis Intern job openings in Rochester Hills, MI as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $43,086 per year, or $20.7 per hour.

Full-time

Posted 14 days ago


Job description

Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that drive marketing strategies and decision-making.


  • Lead & develop automated, easy to understand reports and ad hoc analyses to address specific marketing questions and provide insights to guide decision making.
  • Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL) to gather, clean, analyze, and provide recommendations regarding large datasets from various sources, identifying trends, patterns, and key performance metrics.
  • Collaborate closely with marketing teams to interpret data and provide actionable insights to optimize marketing campaigns, customer segmentation, and overall strategy.
  • Develop and implement data governance and quality assurance processes.
  • Create and maintain Power BI reports and dashboards to translate complex data into clear visualizations that marketing staff can easily interpret and use to inform their strategies.
  • Lead and develop key performance indicators (KPIs), tracking marketing initiatives against established goals, and providing regular updates to stakeholders.
  • Conduct A/B tests and statistical analyses to evaluate the effectiveness of marketing strategies, making data-driven recommendations for improvements.
  • Collaborate with marketing teams to segment audiences effectively and personalize marketing approaches based on data-driven insights.
  • Maintain clear and organized documentation of data sources, methodologies, and analysis results.
  • Mentor junior data analysts regarding best practices in field.

  • Bachelor in Statistics, Marketing, Economics, Computer Science, or related technical field. Master’s degree is a plus.
  • A minimum of five years’ experience working as a Data Analyst, Marketing Analyst, or similar role.
  • Extensive experience in data analysis tools and programming languages (i.e., Python, R, SQL).
  • Ability to create and interpret reports and dashboards using Power BI, Tableau, or similar data visualization tools.
  • Proficiency with marketing analytics tools and platforms (i.e., Google Analytics, Adobe Analytics).
  • Solid understanding of statistical concepts and experience with A/B testing and hypothesis testing.
  • Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.