1

Genetic Data Analyst Jobs in Georgia (NOW HIRING)

Data Analyst

Atlanta, GA

$112K - $148K/yr

Role involves deep-dive data analysis, mapping legacy structures to modern cloud-based solutions ... disability, sexual orientation, genetics, veteran status, marital status or any other ...

We use the power of data and advanced analytics to help our customers make better, timelier ... genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your ...

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier ... genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your ...

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier ... genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your ...

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier ... genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your ...

New

Data Analyst 2

Duluth, GA · Hybrid

$65K - $75K/yr

About this Position The Data Analyst 2 is responsible for completing all data requests routed to ... veteran status, genetic or carrier status, marital status, sexual orientation, or any ...

At Brio, the Associate, Data Analyst plays a key role in supporting our data ecosystem by ... genetic information (including testing and characteristics), protected leave status, domestic ...

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

... or data flow modeling workflow analysis functional decomposition analysis and business rule ... disability, sexual orientation, genetics, veteran status, marital status or any other ...

Overview The Human Resource Information Systems (HRIS) Data Analyst partners with leaders in the HR ... genetic information, sexual orientation, gender identity or expression, or any other basis ...

Overview The Human Resource Information Systems (HRIS) Data Analyst partners with leaders in the HR ... genetic information, sexual orientation, gender identity or expression, or any other basis ...

Overview The Human Resource Information Systems (HRIS) Data Analyst partners with leaders in the HR ... genetic information, sexual orientation, gender identity or expression, or any other basis ...

next page

Showing results 1-20

Genetic Data Analyst information

See Georgia salary details

$28.7K

$69.8K

$114.8K

How much do genetic data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for genetic data analyst in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 per year, depending on experience, location, and employer.

What does a genetic data analyst do?

A Genetic Data Analyst is a professional who interprets and analyzes genetic data, such as DNA sequences, to identify patterns and draw meaningful conclusions for research, healthcare, or pharmaceutical purposes. They use bioinformatics tools and statistical methods to process large datasets, often working closely with geneticists, biologists, and medical professionals. Their work helps in understanding genetic disorders, discovering new treatments, and advancing personalized medicine.

How much do genetic data analysts make?

Genetic data analysts typically earn a median annual salary of around $70,000 to $90,000, depending on experience, education, and location. Entry-level positions may start lower, while those with advanced skills in bioinformatics and experience with tools like R or Python can earn higher salaries.

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

To thrive as a Genetic Data Analyst, you need a solid background in genetics, statistics, and bioinformatics, typically supported by a degree in biology, computer science, or a related field. Familiarity with data analysis tools such as R, Python, SQL, and specialized genomics software, as well as experience with large-scale genomic datasets, is crucial. Strong analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting complex data and collaborating with interdisciplinary teams. These skills are important for ensuring accurate analysis, meaningful insights, and impactful contributions to genetic research or clinical applications.

What are some common challenges genetic data analysts face when working with large-scale genomic datasets?

Genetic Data Analysts often encounter challenges such as managing and processing massive volumes of sequencing data, ensuring data quality, and addressing missing or inconsistent genetic information. They must also stay updated with rapidly evolving bioinformatics tools and adhere to strict data privacy and ethical guidelines. Collaborating closely with researchers, clinicians, and IT professionals is crucial for integrating insights into broader research or clinical projects.

What is the difference between Genetic Data Analyst vs Bioinformatics Technician?

AspectGenetic Data AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Genetics, Bioinformatics, or related field; experience with data analysis toolsAssociate's or Bachelor's in Bioinformatics, Biology, or related; technical skills in software and data management
Work EnvironmentResearch labs, healthcare, biotech companies, academic institutionsLaboratories, research facilities, biotech firms, hospitals
Employer & Industry UsageUsed in genetics research, personalized medicine, genomics projectsSupports bioinformatics workflows, data processing, and technical support

The main difference is that Genetic Data Analysts focus on interpreting genetic data and performing statistical analyses, while Bioinformatics Technicians handle technical data management and support tasks. Both roles are essential in genomics and often work together, but their core responsibilities and skill sets differ slightly.

Infographic showing various Genetic Data Analyst job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $69,780 per year, or $33.5 per hour.

$45 - $60/hr

Full-time

Medical, Dental, Vision

Re-posted 15 days ago


Job description

Title: Senior Business Support Analyst
Location: Hybrid
Hire Type: Contract
Salary: $45 to $60/hour
Benefits: Medical, dental, vision

Position Overview
We are seeking a Senior Business Support Analyst to provide financial, operational, and business analytics support for large-scale engineering and construction projects. This role is responsible for budgeting, forecasting, financial modeling, reporting, and performance analysis while partnering with cross-functional teams to improve decision-making through data analytics and reporting solutions.
The ideal candidate has strong analytical skills, experience working with large datasets, and the ability to communicate complex financial and operational information to leadership. This position also supports process improvements, automation initiatives, and executive-level reporting.

Key Responsibilities
  • Develop and manage capital budgets and financial forecasts for engineering and construction project portfolios.
  • Analyze financial and operational data to identify trends, forecast results, and provide actionable business insights.
  • Perform variance analysis and prepare monthly, quarterly, and annual financial reporting with supporting commentary.
  • Evaluate project costs, identify cost-saving opportunities, and provide recommendations to leadership.
  • Develop key performance indicators (KPIs) and reporting metrics to monitor business performance.
  • Prepare executive-level reports and presentations summarizing financial performance, production metrics, and project status.
  • Design, build, and maintain interactive dashboards and reporting solutions using Power BI.
  • Utilize SQL, Python, and other analytical tools to analyze large datasets and support operational decision-making.
  • Support workforce planning, resource forecasting, and operational modeling initiatives.
  • Assist with departmental budgeting and expense forecasting.
  • Create charts, dashboards, and visual reports to communicate financial and operational performance.
  • Collaborate with finance, engineering, construction, and business stakeholders to improve reporting processes and resolve data issues.
  • Perform ad hoc financial and operational analyses to support strategic initiatives.
  • Help enhance reporting standards, analytics capabilities, and scalable business intelligence processes.
Qualifications
Education
  • Bachelor's degree in Finance, Accounting, Business, Engineering, Business Analytics, Information Systems, Data Analytics, or a related discipline.
  • 5+ years of experience in finance, accounting, project controls, engineering support, business analytics, or a related field.
  • Experience supporting capital projects or infrastructure programs is highly preferred.
  • Industry experience within utilities, energy, infrastructure, industrial construction, or large capital projects is a plus
  • Advanced Microsoft Excel skills.
  • Strong financial modeling, forecasting, budgeting, and reporting experience.
  • Experience developing Power BI dashboards, data models, and executive reporting solutions.
  • Knowledge of accounting principles and financial analysis.
  • Excellent analytical and problem-solving abilities.
  • Strong organizational skills with exceptional attention to detail.
  • Ability to communicate effectively with technical teams, business stakeholders, and executive leadership.
  • Ability to manage multiple priorities in a fast-paced environment.
Preferred Skills
  • Experience with enterprise ERP and financial management systems.
  • Knowledge of Databricks or modern cloud-based data environments.
  • Advanced Power BI development and performance optimization.
  • SQL and/or Python programming for data analysis and reporting automation.
  • Experience with Microsoft Power Platform tools, including Power Apps and Power Automate.
  • Familiarity with project controls, capital project reporting, or infrastructure project analytics.
Additional Information
This position may require occasional extended hours to support critical reporting deadlines, budgeting cycles, or major business initiatives. The role offers the opportunity to work on high-impact projects while helping drive data-informed decision-making through financial analysis, business intelligence, and process improvement.

Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.