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Assistant Data Analyst Jobs in Michigan (NOW HIRING)

Identify relationships in data to assist in providing insights. * Establish repeatable, sustainable ... Analyzer, MDM, EIC, EDL, EDC, BDM, IDQ, PowerCenter * Skills in Java, NoSQL, HADOOP, IBM Data Stage ...

$50 - $60/hr

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Assistant Data Analyst information

See Michigan salary details

$24.4K

$62.5K

$119.4K

How much do assistant data analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for assistant data analyst in Michigan is $62,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,700.00 and $72,800.00 per year, depending on experience, location, and employer.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What does an Assistant Data Analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are some common challenges an Assistant Data Analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

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

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.
What are the most commonly searched types of Data Analyst jobs in Michigan? The most popular types of Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Assistant Data Analyst jobs? Cities in Michigan with the most Assistant Data Analyst job openings:
Data Governance Analyst

Contractor

Posted 29 days ago


Job description

Company Description

Renaissance Partners is a NYC based recruiting firm and trusted adviser to leading companies in the financial services, technology, retail and healthcare industries.

    Job Description

    As a Data Governance Analyst with a leading design and manufacturing company you will work across all areas of the company to ensure data quality, data management, data policies and risk management. In addition you will ensure data is profiled to identify data attributes for security, understand content and opportunities to improve it with standards. You will also work with various stakeholders to make recommendations to improve data quality, data standardization and data transformation. 

    Responsibilities: 

    • Data usage/data management/data protection including.
    • Perform data profiling of sources to assess data quality and work on mitigation strategies and cleansing solutions.
    • Populate Metadata content and associate terms in the Business Glossary to develop the Informatica Enterprise Data Catalog.
    • Resolve data issues in the appropriate forums and work cross functionally to develop solutions.
    • Collaborate with Data, Analytics and IT teams and guide them on data standards and the use of Informatica tools. 
    • Identify relationships in data to assist in providing insights. 
    • Establish repeatable, sustainable processes to maintain data and metadata. 
    • Understand company and regulatory guidelines regarding data privacy, usage and retention (PII, GDPR, SPII).
    • Deliver training and communications for new Informatica capability and Data Governance processes.
    • Automate solutions to enable data protection for inter-related systems data. 
    • Utilize skills in Informatica Software: Data Quality, Profiling and Data. Management tools, SQL and Data discovery techniques.
    Qualifications

    Required:

    • 8 + years of progressive responsibilities in Data Integration/Data Management
    • Informatica experience including: Analyzer, MDM, EIC, EDL, EDC, BDM, IDQ, PowerCenter 
    • Skills in Java, NoSQL, HADOOP, IBM Data Stage/Quality Stage. 
    • Data Management tools, SQL and Data discovery techniques.
    • Bachelor's Degree in Computer Science, Statistics, Finance or a related technical field.

    Preferred:

    • Knowledge of Application Development Lifecycle.
    • Strong collaboration and communications skills, ability to engage with others. 
    • Ability to resolve complex problems and break them down to create and implement an action plan.
    • Ability to lead data related project activities. 
    • Self-Starter who can work in ambiguous situations and drive to a solution. 
    • Strong organizational skills and ability to advance multiple work streams concurrently.
    • Ability to work within analytical frameworks in a Big Data environment (Data Lake, EDW, Data Warehouse architectures.
    Additional Information

    This is a contract position.