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Data Assistant Jobs in Decatur, GA (NOW HIRING)

RELX

AI Data Analyst

Alpharetta, GA

Metadata & Semantic Enablement * Assist teams in improving metadata, documentation, and business ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

RELX Group plc

AI Data Analyst

Alpharetta, GA · On-site

Metadata & Semantic Enablement * Assist teams in improving metadata, documentation, and business ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

GHJ

Accounting Assistant

Atlanta, GA · Hybrid

$18.75 - $24.50/hr

The Accounting Assistant will support accounts payable, accounts receivable, data entry, reconciliations, and general accounting activities while helping maintain accurate and organized financial ...

New

GHJ

Accounting Assistant

Atlanta, GA · Hybrid

$18.75 - $24.50/hr

The Accounting Assistant will support accounts payable, accounts receivable, data entry, reconciliations, and general accounting activities while helping maintain accurate and organized financial ...

New

GHJ

Accounting Assistant

Atlanta, GA · On-site

$18.75 - $24.50/hr

The Accounting Assistant will support accounts payable, accounts receivable, data entry, reconciliations, and general accounting activities while helping maintain accurate and organized financial ...

New

Angry Crab Shack

Assistant General Manager

Kennesaw, GA · On-site

... data such as daily sales, labor, shift notes, and other financial data. * Assist in recruiting, rewarding, and retaining top team members and cultivate management potential. * Ensure Company Policy ...

Angry Crab Shack

Assistant General Manager

Kennesaw, GA · On-site

... data such as daily sales, labor, shift notes, and other financial data. * Assist in recruiting, rewarding, and retaining top team members and cultivate management potential. * Ensure Company Policy ...

Sidel

Senior Accountant

Norcross, GA

$69K - $87K/yr

Oversee the general ledger, ensuring accuracy and completeness of financial data. * Assist in the month-end close process, including journal entries, reconciliations, and variance analysis. * Oversee ...

Sidel

Senior Accountant

Norcross, GA

$69K - $87K/yr

Oversee the general ledger, ensuring accuracy and completeness of financial data. * Assist in the month-end close process, including journal entries, reconciliations, and variance analysis. * Oversee ...

Sidel Group

Senior Accountant

Norcross, GA

$69K - $87K/yr

Oversee the general ledger, ensuring accuracy and completeness of financial data. * Assist in the month-end close process, including journal entries, reconciliations, and variance analysis. * Oversee ...

Endorse Infinity

Entry Level Sales Assistant

Atlanta, GA

$34K - $40K/yr

Provide support in creating sales reports and analyzing sales data. * Assist in the development and implementation of sales strategies and marketing campaigns. * Handle customer inquiries and provide ...

Jose Merciline

Business Analyst

Alpharetta, GA

Provide subject matter expertise (as required) for banking product data. * Assist data consumers and development teams by taking on data research/analysis tasks and answering questions about the data ...

Winaxis

SAP Plant Maintenance Consultant

Atlanta, GA · On-site

Analyze and resolve issues related to Plant Maintenance processes and data. * Assist in user testing, training, and documentation as needed. * Provide post-go-live support and continuous improvement ...

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Showing results 1-20

All JobsData JobsData Assistant JobsData Assistant Jobs in Decatur, GA

Data Assistant information

Is 40 too late for data science?

Data assistants and data scientists can enter the field at any age, including 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, along with practical experience. Many professionals transition into data roles later in their careers successfully.

What are Data Assistants?

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 is the role of a data assistant?

A data assistant supports data management tasks such as collecting, organizing, and maintaining data sets. They often use tools like spreadsheets and databases, ensuring data accuracy and integrity to assist analysts and other team members in decision-making processes.

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 do data assistants do?

Data assistants support data management tasks by collecting, organizing, and maintaining data sets. They often use tools like spreadsheets and databases, perform data entry, verify accuracy, and assist with data analysis to ensure information is complete and reliable.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or Python, and often benefit from relevant coursework or certifications. While prior experience is helpful, entry-level positions may be available for those with strong analytical skills and a willingness to learn on the job.

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 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 the most commonly searched types of Data jobs in Decatur, GA? The most popular types of Data jobs in Decatur, GA are:
What job categories do people searching Data Assistant jobs in Decatur, GA look for? The top searched job categories for Data Assistant jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Data Assistant jobs? Cities near Decatur, GA with the most Data Assistant job openings:
Data Assistant jobs near you
Infographic showing various Data Assistant job openings in Decatur, GA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 2% Temporary, and 3% Contract. Highlights an 97% Physical, and 3% Remote job distribution.

AI Data Analyst

RELX

Alpharetta, GA

Full-time

Medical, Life

Re-posted 7 days ago

Job description

Are you passionate about improving data quality and readiness to unlock the full potential of AI solutions?

Do you enjoy collaborating across teams to ensure data is structured, governed, and usable for intelligent systems?

About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below,

https://risk.lexisnexis.com

About the Team:

We are a newly formed Enterprise AI team focused on enabling agent-based solutions across the organization. We build and manage the environments, platforms, and guardrails that allow teams to create, test, and scale AI agents safely and efficiently turning experimentation into real business impact.

We're a team of curious builders and operators who are constantly exploring, learning, and applying new AI tools and approaches to solve real-world problems and improve how work gets done.

About the Role:

We are seeking an AI Data Analyst to support teams in preparing and maintaining AIready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality, metadata, and governance, helping teams understand how to structure, document, and manage their data so it can be safely and effectively used by AI systems.

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own endtoend data pipelines and is not expected to be a deep technical expert in RAG or embeddings, but should have a solid working understanding of AIdriven data needs.

Responsibilities:

AI Data Readiness Support

  • Work with product and delivery teams to assess whether datasets and content are fit for AI use cases.
  • Help teams understand and apply AI data readiness standards, including quality, freshness, metadata, and access expectations.
  • Identify common data issues that impact AI outcomes (e.g., stale data, unclear ownership, missing metadata) and recommend remediation steps.
  • Contribute to repeatable checklists, guidance, or documentation that help teams prepare data for AI.

Data Quality & Relevance

  • Support data quality checks focused on accuracy, completeness, consistency, and timeliness for AIconsumed data.
  • Assist in monitoring and validating data freshness and relevance, escalating issues to engineering or data owners as needed.
  • Help teams improve data clarity and usability to reduce ambiguity in AI outputs.

Metadata & Semantic Enablement

  • Assist teams in improving metadata, documentation, and business descriptions so AI systems can better interpret content.
  • Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning (in coordination with engineering teams).
  • Promote good content hygiene practices (clear structure, consistent naming, wellscoped documents).

AI Data Sources & Retrieval (Support Role)

  • Support the upkeep and documentation of approved data sources used by AI solutions.
  • Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.
  • Collaborate with AI and platform teams on data inclusion/exclusion decisions without owning technical implementation.

Governance, Lineage & Compliance Awareness

  • Help teams align AIconsumed data with enterprise governance requirements, including classification, access controls, and retention.
  • Support basic data lineage and ownership documentation for AIrelevant datasets.
  • Partner with governance and security teams by surfacing risks or gaps; does not act as final approval authority.

What This Role Does Not Own

  • Does not design or own endtoend production data pipelines.
  • Does not act as the primary technical owner for RAG frameworks, vector databases, or embedding strategies.
  • Does not make final governance or compliance decisions independently.

Requirements:

  • Proven experience in data analysis, analytics engineering, data operations, or data quality roles.
  • Good understanding of data quality principles and how poor data impacts downstream systems.
  • Experience working with structured and unstructured data (tables, files, documents, knowledge assets).
  • Proficiency in SQL and comfort investigating data issues.
  • Familiarity with data governance fundamentals (classification, access controls, ownership, retention).
  • Strong communication skills and ability to explain data concepts to nontechnical stakeholders.

Preferred Qualifications

  • Exposure to AIenabled products, copilots, or searchbased solutions.
  • Basic familiarity with AI data concepts such as semantic search, embeddings, or retrieval patterns.
  • Experience working in enterprise or regulated environments.
  • Experience contributing to standards, playbooks, or shared data practices.

What Success Looks Like

  • Teams can reliably prepare datasets that meet AI readiness expectations with less rework.
  • AI solutions benefit from more relevant, uptodate, and understandable data.
  • Clear ownership and documentation exist for data used by AI systems.
  • Strong collaboration between delivery teams, data engineering, and governance.

Working for You:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
  • Life Assurance Policies: Providing financial security for your loved ones.
  • Modern Family Benefits: Support for maternity, paternity, and adoption needs.
  • Long Service Award: Recognition for your dedication and loyalty.
  • Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
  • Flexible Benefits Plan : Offering you wider choice of services and products
  • Employee Assistance Program : Access support for personal and work-related challenges.
  • Flexible Working Arrangements: Balance work and personal life effectively.
  • Access to Learning and Development Resources: Empowering your professional growth.

Risk benefit statement
Learn more about the LexisNexis Risk team and how we work: https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000

U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Ohio, the base pay range is $74,900 - $124,700. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Formor please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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