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Data Assistant Jobs in Novi, MI (NOW HIRING)

Data Modeler

Sterling Heights, MI · Remote

$51 - $66/hr

Support data integration across systems and assist with reverse engineering existing databases when needed. * Document data architecture changes, perform impact analysis, and support configuration ...

New

Data Analyst

Detroit, MI · On-site

$75.25/hr

Work Interactions The Data Analyst will work with and assist the Clinical Research Coordinator, Regulatory Specialist, and Clinical Trial Manager by interacting with the clinical trial sponsor and ...

New

Develop solutions and recommendations for improving data integrity issues, establish data profiling and preventative procedures to improve data quality. * Assist in the coaching and training of ...

The organization is seeking a single contractor to assist with planning, design, development, and implementation of a NetBox-to-Oracle synchronization and data migration effort. The ideal contractor ...

Data Architect

Ann Arbor, MI · On-site

$60 - $80/hr

The organization is seeking a single contractor to assist with planning, design, development, and implementation of a NetBox-to-Oracle synchronization and data migration effort. The ideal contractor ...

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 and keep up to date with current trends in data-focused technology. The ideal candidate will have ...

As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have ...

Data Analyst

Southfield, MI · On-site

$70 - $90/hr

Prepare analytics reports in presentation form * Assist in developing sound data ETL practices and processes * Conduct research and analyze special studies when needed * Create and update ...

New

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 and keep up to date with current trends in data-focused technology. The ideal candidate will have ...

Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the ... Consult on data collection for new products to ensure all tracking is in place for future analysis.

Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the ... Consult on data collection for new products to ensure all tracking is in place for future analysis.

Data Architect

Detroit, MI · On-site +1

$63 - $81.25/hr

Mentor junior Data Architects and Data Engineers on Clarkston's analytics team * Assist in defining and managing client solutions How You'll Grow Beyond your day-to-day responsibilities, throughout ...

Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the ... Consult on data collection for new products to ensure all tracking is in place for future analysis.

Data Analyst, Procurement

Livonia, MI · On-site

$49K - $77K/yr

Responsibilities * Assist members of the Procurement COE and Category Sourcing groups in analyzing data to support shared objectives * Collect, clean, validate, and analyze data from multiple sources ...

Data Modeler /Architect

Dearborn, MI · On-site

$58.50 - $75.25/hr

The focus of the Data Architect will be the definition and maintenance of processes, tools, and information that will assist architects to find opportunities in the Information domain of architecture ...

Compliance Specialist

Southfield, MI · On-site

$40K - $45K/yr

Track and report on customer complaint data including testing that all applicable required information regarding the investigation and compliant resolution are maintained * Assist with the ...

Data Analyst, Procurement

Livonia, MI · On-site

$49K - $77K/yr

Responsibilities * Assist members of the Procurement COE and Category Sourcing groups in analyzing data to support shared objectives * Collect, clean, validate, and analyze data from multiple sources ...

Showing results 41-60

Data Assistant information

What is a data assistant?

Data Assistants are professionals who support data management processes within an organization. Their responsibilities typically include collecting, entering, cleaning, and maintaining data to ensure its accuracy and accessibility. They often work with spreadsheets, databases, and specialized software to organize and analyze information, making it easier for teams to make data-driven decisions. Data Assistants may also help prepare reports and collaborate with other departments to support research or business operations.

What are the key skills and qualifications needed to thrive as a data assistant, and why are they important?

To excel as a Data Assistant, you need strong attention to detail, proficiency in data entry, and a basic understanding of data management principles, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software such as Microsoft Excel, database platforms, and data visualization tools is typically required. Excellent organizational skills, reliability, and effective communication set top performers apart in this role. These abilities are vital for ensuring data accuracy, supporting efficient workflows, and facilitating informed decision-making within organizations.

What are some common challenges data assistants face when managing large datasets, and how can they overcome them?

Data Assistants often encounter challenges such as data inconsistencies, missing information, and time-consuming data entry tasks when handling large datasets. To overcome these issues, it’s important to develop strong attention to detail, utilize data validation tools, and follow established data management protocols. Collaborating closely with data analysts and IT teams can also help identify and resolve data quality problems more efficiently, ensuring that the information remains accurate and reliable for stakeholders.

What is the difference between Data Assistant vs Data Analyst?

AspectData AssistantData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data-related fields; certifications like Microsoft Excel or SQL are common
Work EnvironmentOffice settings, data entry centers, or remoteOffice environments, research firms, or corporate settings
Employer & Industry UsageAdministrative support in various industries, including healthcare, education, and retailData-driven decision making in finance, marketing, healthcare, and tech

While Data Assistants focus on data entry, organization, and basic support tasks, Data Analysts interpret data to provide insights and strategic recommendations. Both roles are essential but differ in complexity and scope.

What are the most commonly searched types of Data jobs in Novi, MI?

The most popular types of Data jobs in Novi, MI are:

What cities near Novi, MI are hiring for Data Assistant jobs?

Cities near Novi, MI with the most Data Assistant job openings:

Infographic showing various Data Assistant job openings in Novi, MI as of August 2026, with employment types broken down into 11% Internship, 72% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution.

Data Modeler

Horizontal Talent

Sterling Heights, MI • Remote

$51 - $66/hr

Full-time

Posted 2 days ago

New


Job description

Join a team focused on designing and maintaining the data foundation that supports complex mission systems, analytics, and reporting. This role is ideal for a detail-oriented data professional who enjoys turning business needs into clear, scalable data models and working closely with technical and business stakeholders to improve data accessibility and quality.

Responsibilities
  • Design, build, and maintain conceptual, logical, and physical data models that support data pipeline and reporting needs.
  • Translate business and engineering requirements into structured data solutions that enable reliable data flow across systems.
  • Collaborate with analysts, architects, developers, and other stakeholders to gather requirements and validate current-state and future-state processes.
  • Maintain a central data dictionary, metadata, naming conventions, and data standards to support consistency and governance.
  • Improve data model performance by reducing redundancy, supporting reuse, and helping optimize database efficiency.
  • Support data integration across systems and assist with reverse engineering existing databases when needed.
  • Document data architecture changes, perform impact analysis, and support configuration control efforts.
  • Help identify authoritative source systems and support data replication and transformation across environments.
  • Contribute to data quality, validation, and control processes to help ensure accuracy, consistency, and reliability.
  • Monitor and troubleshoot data infrastructure issues while supporting ongoing maintenance and performance improvements.
Skills
  • 6+ years of relevant experience in data modeling, data management, or a related field.
  • Bachelor’s degree in Data Management, Data Science, Math, Statistics, or a related discipline, or equivalent experience.
  • Strong knowledge of data modeling concepts, including ERDs, normalization, dimensional modeling, and metadata repositories.
  • Hands-on experience with SQL and data warehousing concepts.
  • Ability to communicate clearly with both technical and non-technical stakeholders.
  • Strong analytical and problem-solving skills with the ability to work through complex data challenges.
  • Experience supporting data governance, data quality, and documentation standards.
  • Ability to work effectively in team-based environments where collaboration and reliability are essential.
Preferred Skills
  • Experience with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS, AWS Redshift, SSAS, Alation, Dataiku, or Oracle.
  • Exposure to big data technologies such as Hadoop or Spark.
  • Familiarity with cloud-based data services such as AWS or Azure.
  • Background in Agile or Scrum environments.
  • Experience supporting engineering or manufacturing-related data environments.
  • Knowledge of structured problem-solving methods.
  • Experience working with development teams and understanding technical requirements.

Horizontal is committed to fostering an inclusive workplace where different perspectives, backgrounds, and experiences are valued. We encourage candidates from all backgrounds to apply and are dedicated to creating an environment where everyone can contribute and succeed.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.