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Data Analysis Assistant Jobs in Georgia (NOW HIRING)

Curant Health

Data Analyst

Smyrna, GA · On-site

... partners. * Assist with ad hoc reporting and analysis requests while maintaining consistent ... Prepare validated data, exhibits, supporting details, and commentary for monthly operational ...

RELX Group plc

AI Data Analyst

Alpharetta, GA · On-site

Metadata & Semantic Enablement * Assist teams in improving metadata, documentation, and business ... Proven experience in data analysis, analytics engineering, data operations, or data quality roles.

RELX

AI Data Analyst

Alpharetta, GA

Metadata & Semantic Enablement * Assist teams in improving metadata, documentation, and business ... Proven experience in data analysis, analytics engineering, data operations, or data quality roles.

SAIC

Data Analyst

Fort Moore, GA

... : * Assist Project Lead in the design of wargames and TTXs * Work closely with the Senior ... Experience in analyzing and reducing data to support report or experiment objectives * Experience ...

City of Augusta, GA

Management Analyst

Augusta, GA · On-site

... analysis. Assist with preparation of the annual budget/capital improvement program, and provide ... Ability to prepare financial reports and perform quantitative data analysis. * Knowledge of and ...

Science Applications International Corporation

... : * Assist Project Lead in the design of wargames and TTXs * Work closely with the Senior ... Experience in analyzing and reducing data to support report or experiment objectives * Experience ...

KBR

Aircraft Systems Analyst Level II

Warner Robins, GA · On-site

... document analysis; assist in drafting reports, papers, and presentations on results of analysis ... Analyzes and coordinates technical data within established procedures and schedules. Role and ...

Novoco

Real Estate Analyst Intern

Atlanta, GA

$20/hr

This includes collecting and coalescing pertinent market data, assisting in market analysis and ... Occasionally perform administrative tasks, such as filing * Assist with other duties, projects or ...

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All JobsData Analysis JobsData Analysis Assistant JobsData Analysis Assistant Jobs in Georgia

Data Analysis Assistant information

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

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

What are the key skills and qualifications needed to thrive as a data analysis assistant?

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What does a data analysis assistant do?

A Data Analysis Assistant supports data analysts and data scientists by collecting, cleaning, organizing, and preparing data for analysis. They help ensure the accuracy and integrity of datasets, create basic reports or visualizations, and may assist with statistical analysis or data entry tasks. Their work allows the analysis team to focus on more complex data interpretation and decision-making, making the assistant an essential part of the data workflow.

What are some common challenges faced by data analysis assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.

What are the most commonly searched types of Data Analysis jobs in Georgia?

The most popular types of Data Analysis jobs in Georgia are:

What are popular job titles related to Data Analysis Assistant jobs in Georgia?

For Data Analysis Assistant jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Analysis Assistant jobs in Georgia look for?

The top searched job categories for Data Analysis Assistant jobs in Georgia are:

What cities in Georgia are hiring for Data Analysis Assistant jobs?

Cities in Georgia with the most Data Analysis Assistant job openings:

Data Analysis Assistant jobs near you
Infographic showing various Data Analysis Assistant job openings in Georgia as of August 2026, with employment types broken down into 68% Full Time, 13% Part Time, and 19% Contract. Highlights an 91% In-person, and 9% Remote job distribution.

Data Analyst

Curant Health

Smyrna, GA • On-site

Full-time

Posted 5 days ago

Job description

Position Summary

The Data Analyst I – Curant Rare supports Curant Health’s manufacturer-facing reporting and operational analytics for an assigned Rare program. This role is responsible for recurring reporting, Power BI dashboard support, data validation, KPI and SLA monitoring, and analysis used in operational reviews and Quarterly Business Reviews (QBRs).

The Data Analyst I works with patient, referral, prior authorization, dispensing, and workflow data to provide accurate and actionable insights to program leadership and cross-functional partners. This position also partners with internal teams and client data contacts to investigate reporting questions, resolve data discrepancies, and ensure reporting deliverables are accurate, timely, and aligned with business requirements.

The ideal candidate is analytical, detail-oriented, comfortable working with data, and interested in developing their career in healthcare analytics and business intelligence.

Duties and Responsibilities

Core duties and responsibilities include the following. Other duties may be assigned based on business and program needs.

Reporting and Dashboard Management
  • Maintain, refresh, validate, and support Power BI reports and operational dashboards.
  • Produce daily, weekly, monthly, and quarterly reporting for program leadership and manufacturer reviews.
  • Monitor key program metrics, including referral volume, patient onboarding, benefit verification, prior authorization, dispensing, conversion, adherence, persistence, workflow activity, and service-level performance.
  • Create clear visualizations, scorecards, trends, and patient-level detail views that support operational decision-making.
  • Maintain documentation for report logic, source fields, refresh cadence, filters, exclusions, and known data limitations.
Data Quality, Reconciliation, and Validation
  • Validate reporting outputs against source systems and established business rules before distribution.
  • Reconcile patient counts, status classifications, dates, and KPI results across reports and reporting periods.
  • Identify potential data-quality issues and assist with investigating root causes.
  • Document reporting exceptions and coordinate with business and technical partners to support resolution.
  • Maintain organized validation files, metric definitions, and reporting documentation.
  • Escalate significant data discrepancies or reporting concerns appropriately.
Business Analysis and Operational Insights
  • Analyze patient journeys and operational workflows to identify trends and potential barriers to enrollment, therapy initiation, conversion, and refill continuity.
  • Evaluate performance across workflow steps, patient status, payer, aging, responsible party, and other relevant operational dimensions.
  • Support cohort, trend, aging, turnaround-time, and exception analysis.
  • Translate analytical findings into clear summaries for program leadership and business partners.
  • Assist with ad hoc reporting and analysis requests while maintaining consistent documentation and methodology.
QBR, Manufacturer, and Cross-Functional Support
  • Prepare validated data, exhibits, supporting details, and commentary for monthly operational reviews and Quarterly Business Reviews.
  • Partner with Patient Engagement, Pharmacy, Finance, IT, and program leadership to clarify reporting requirements and resolve reporting questions.
  • Maintain awareness of recurring reporting deadlines and support timely completion of deliverables.
  • Participate in requirements gathering, user acceptance testing, and implementation of approved report and dashboard enhancements.
Client Data Team Collaboration
  • Work with client data contacts to clarify reporting requirements and investigate data discrepancies.
  • Assist with resolving reporting, data-transfer, and data-alignment challenges.
  • Communicate findings, open questions, and proposed resolutions clearly and professionally with internal stakeholders and client contacts.
  • Track client-facing data issues and maintain appropriate documentation of findings, root causes, and follow-up actions.
  • Escalate unresolved reporting or data risks to program leadership as appropriate.
  • Support alignment between Curant reporting outputs and client reporting expectations.

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