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Assistant Data Manager Jobs in Michigan (NOW HIRING)

Zoetis, Inc.

Associate Data Manager

Kalamazoo, MI · On-site

Join the Statistics and Data Management team within Veterinary Medicine Research and Development ... Adhere to existing SOPs and work instructions; assist in drafting or updating procedural documents ...

Abaxis

Associate Data Manager

Portage, MI

Join the Statistics and Data Management team within Veterinary Medicine Research and Development ... Adhere to existing SOPs and work instructions; assist in drafting or updating procedural documents ...

JVIS

Engineering Data Manager

Shelby Township, MI · On-site

Support system testing, validation, upgrades, and enhancement initiatives. * Assist with workflow ... Product Data Management (PDM) * Engineering Change Management (ECR, ECN, ECO) * Bills of Material ...

Epitec

Data Engineer

Southfield, MI · On-site

$114K/yr

... management; develop and validate Active Safety and Driver Assistance Systems features and ... One (1) year in the position above, as a Data Analyst, as a Data Analyst Assistant, Data Engineer ...

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Manager, Data Engineering

Detroit, MI

$160K - $190K/yr

As a technical leader, the person will assist with setting the technical direction of the practice ... Experience establishing data management strategy for customers, including data governance, data ...

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Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

As a technical leader, the person will assist with setting the technical direction of the practice ... Experience establishing data management strategy for customers, including data governance, data ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

As a technical leader, the person will assist with setting the technical direction of the practice ... Experience establishing data management strategy for customers, including data governance, data ...

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Assistant Data Manager information

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

To thrive as an Assistant Data Manager, you need a solid background in data management principles, database systems, and often a degree in information technology or a related field. Familiarity with data management tools such as SQL, Microsoft Excel, and commonly used database platforms, along with knowledge of data governance standards, is typically required. Strong attention to detail, organizational skills, and effective communication enable you to ensure data accuracy and collaborate with cross-functional teams. These skills and qualifications are important because they ensure data integrity, support decision-making, and help maintain compliance in data-driven environments.

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

AspectAssistant Data ManagerData Analyst
Required CredentialsBachelor's degree in Data Science, IT, or related field; often some experience in data managementBachelor's degree in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentData management teams, IT departments, administrative settingsBusiness units, research teams, marketing, finance departments
Employer & Industry UsageOrganizations with large data repositories, healthcare, finance, techMarket research firms, finance, consulting, healthcare analytics

While both roles involve working with data, the Assistant Data Manager primarily supports data management processes, ensuring data accuracy and organization. Data Analysts focus on interpreting data, generating reports, and providing insights. The Assistant Data Manager often handles data entry, validation, and database maintenance, whereas Data Analysts perform data analysis and visualization. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are some common challenges faced by Assistant Data Managers when maintaining data integrity across multiple projects?

Assistant Data Managers often work on several projects simultaneously, which can make it challenging to ensure data consistency and accuracy across different datasets. They must pay close attention to detail when entering, updating, or cleaning data, and frequently communicate with project leads and team members to clarify data discrepancies. Implementing standardized data management protocols and utilizing data validation tools are essential practices to minimize errors and maintain high data quality. Additionally, balancing project deadlines with rigorous data checks can be demanding, but is critical to delivering reliable results.

What does an Assistant Data Manager do?

An Assistant Data Manager supports the data management team by organizing, maintaining, and ensuring the quality of data within an organization. Their duties often include data entry, cleaning, validation, and assisting in creating reports or visualizations. They may also help implement data management policies, coordinate with other departments, and ensure compliance with data privacy regulations. This role is critical for maintaining accurate and accessible information for business decision-making.
Assistant Data Manager jobs near you
Infographic showing various Assistant Data Manager job openings in Michigan as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Research Assistant, Data Management Analytics, Division of Research & Innovation

Research Assistant, Data Management Analytics, Division of Research & Innovation

Wayne State University

Detroit, MI • On-site

$19 - $26.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Assist with development and maintenance of cloud-based research data workflows and structured analytics environments using Google Cloud Platform technologies.

  • Assist in preparing, transforming, and organizing large structured and unstructured research datasets for downstream analytics, reporting, and AI-enabled approaches.

  • Support implementation of SQL-based research data pipelines and analytic workflows used in biomedical, clinical, and population health research projects.

Wayne State University rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

248th of 544 rated colleges and universities

Job description

Research Assistant, Data Management Analytics, Division of Research & Innovation
Wayne State University is searching for an experienced Research Assistant, Data Management Analytics, Division of Research & Innovation at its Detroit campus location.
Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.
Position Purpose:
The Research Assistant position provides technical and analytic support for biomedical and population health research initiatives involving Google Cloud Platform-based research data workflows, BigQuery SQL (Structured Query Language) analytics, structured research databases, interactive dashboards, and AI-integrated research approaches.
Essential Functions:
Assist with development and maintenance of cloud-based research data workflows and structured analytics environments using Google Cloud Platform technologies, including BigQuery and Cloud Storage.
Assist in preparing, transforming, and organizing large structured and unstructured research datasets for downstream analytics, reporting, and AI-enabled approaches.
Support implementation of SQL-based (structured query language) research data pipelines and analytic workflows used in biomedical, clinical, and population health research projects.
Assist in the development of interactive research dashboards and visualization tools for research and healthcare data using cloud-based analytic platforms.
Support research teams in transitioning analytic and data processing workflows toward reproducible cloud-based environments and internally managed research tools.
Assist with development and testing of AI-enabled (Artificial Intelligence) workflows, including computer vision, natural language processing, semantic search, and metadata extraction systems for research approaches.
Perform other related duties as assigned.
Minimum Qualifications:
Education: Master's degree
Discipline: Computer Science/ Data Science/ Biomedical Informatics/ Bioinformatics/ Statistics/ Computational Science/ Related computational discipline.
Experience: Experienced (minimum 2 years of job-related experience).
Plus, two or more of the following is preferred:
Google Cloud Platform
SQL (Structured Query Language) and relational databases
Python programming
Cloud-based analytics workflows
Dashboard development
AI/ML (Artificial Intelligence/Machine Learning) or data science workflows
Biomedical or healthcare research data environments
Knowledge, Skills, and Abilities:
Working knowledge of SQL (Structured Query Language) and structured database concepts.
Experience using Python for analytics, scripting, or data processing workflows.
Familiarity with cloud computing platforms, particularly Google Cloud Platform technologies such as BigQuery and Cloud Storage.
Familiarity with AI/ML (Artificial Intelligence/Machine Learning), natural language processing, or computer vision workflows preferred.
Ability to assist with development of dashboards and interactive analytic tools.
Ability to work independently while contributing within collaborative research teams.
Strong organizational, communication, and problem-solving skills.
Knowledge of research integrity and reproducible research principles.
Experience with Git-based workflows or collaborative software development environments preferred.
School/College/Division:
Division of Research & Innovation
Primary Department:
H0905 - VP Research
Employment Type:
  • Regular Employee
  • Job type: Full Time
  • Job category: Research
Funding/salary Information:
  • Compensation type: Annual Salary
  • Annual Salary: To Be Determined
Working Conditions:
Normal Office Environment.
Job Openings:
  • Number of openings: 1
  • Reposted position: No
Background Check Requirements:
University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.

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