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Data Assistant Jobs in Romeoville, IL (NOW HIRING)

T5 Data Centers

Assistant Project Manager

Chicago, IL · On-site

On site management of data center projects * Interaction with power and fiber companies * Assist Project Manager and project team with reporting * Interface with customers to ensure critical ...

1 point system

Data Analyst

Chicago, IL · On-site

* Collect, clean, and analyze technology data from various sources to identify trends, patterns, and ... needed. * Assist in the preparation of presentations and reports for internal stakeholders ...

MaximaTek

Data Analyst

Chicago, IL · On-site

Maintain documentation for reports and data processes. * Assist with ad hoc reporting and analytics requests. Required Qualifications * Bachelor's or Master's degree in: * Data Analytics * Computer ...

T5 Data Centers

Assistant Project Manager

Chicago, IL · On-site

On site management of data center projects * Interaction with power and fiber companies * Assist Project Manager and project team with reporting * Interface with customers to ensure critical ...

ScionHealth

Radiology Technologist

Chicago, IL · On-site

$29 - $36.78/hr

Postprocess images and data. * Verify archival storage of exam data. * Assist in maintaining medical records while respecting confidentiality and established policy. * Identify and respond to ...

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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 Romeoville, IL?

The most popular types of Data jobs in Romeoville, IL are:

What cities near Romeoville, IL are hiring for Data Assistant jobs?

Cities near Romeoville, IL with the most Data Assistant job openings:

Data Assistant jobs near you
Infographic showing various Data Assistant job openings in Romeoville, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Architect (42125)

Talent Management Plus, Inc.

Chicago, IL • On-site

$150 - $200/hr

Other

Posted 26 days ago

Job description

Position: Data Architect (42125)Location: REMOTE

This engagement will support a Data Warehousing and Data Governance/Security initiative, in helping build Data Architecture chapter foundational capabilities. This project is an important enterprise-wide initiative to build a cloud based data warehouse using a metadata driven approach to reduce bespoke ETL and one off development efforts.

Responsibilities
  • Work closely with cross functional stakeholders ranging from product owners to enterprise architects and platform teams.
  • Create high-level design documents and detailed specifications, in accordance with company architecture standards.
  • Support primarily Analytics initiatives but also operational where appropriate.
Deliverables
  • Develop / assist in creating, documenting, and gaining approvals for solution patterns
  • Participate in technology proofs of concept
  • Develop / assist in creating, documenting, and gaining approvals for architecture decision records
  • Help develop the foundational capabilities of the data arch chapter
  • Support some ‘Business as Usual (BAU)’ tasks
  • Create or assist in creating architectural deliverables that will capture Conceptual & Physical (L1/L2) architecture views as creating supporting documentation
  • Capture and document future use cases
  • Actively review and contribute to rolling 24-month architecture roadmap
Required Skills
  • 5+ years of relevant hands‑on data architecture experience
  • 2+ years of relevant hands‑on exposure to building data and analytics solutions on AWS
  • 2+ years of ETL architecture experience (Ab Initio or cloud‑native tools)
  • Experience with Snowflake
  • Experience with variety of databases e.g. Teradata, Oracle, Maria DB,
  • Experience building architectural patterns at scale, including thoughtfully‑designed data solutions, repeatable data pipelines, and efficient software engineering principles
  • Sound understanding of CI/CD, infrastructure engineering and building future ready technology solutions
  • Experience with building data warehouses, marts, business intelligence reports and operational systems
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