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Senior Analytics Engineer Jobs in Georgia (NOW HIRING)

Senior Analytics Engineer

Atlanta, GA ยท On-site

$100K - $138K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader responsible for building and maintaining the transformation and semantic layer that powers enterprise-wide ...

Sr Analytics Engineer

Atlanta, GA ยท On-site

$160K - $216K/yr

Partner closely with analytics engineers and data architects to deeply understand the underlying data models in Snowflake and develop a profound understanding of our business domains and data ...

Sr Analytics Engineer

Atlanta, GA ยท On-site

$160.06 - $216.50/hr

The goal is to build an AIโ€‘ready knowledge base that powers advanced analytics, prompt engineering for large language models, and intelligent data discovery while ensuring seamless connectivity and ...

Global Pharma Tek is seeking a Sr. Analytics Developer to design, develop, test, maintain, and support complex data ETL programs for an Enterprise Data Warehouse. The role requires expertise in BI ...

Data Engineer III/Senior (Analytics)

Ellenwood, GA ยท On-site

$92K - $125K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Data Engineer III/Senior (Analytics)

Ellenwood, GA ยท On-site

$92K - $125K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Analyze data and identify root causes of issues; recommend and implement improvements. * Participate in all phases of the SDLC , from design to deployment. * Ensure performance tuning and ...

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Senior Analytics Engineer information

See Georgia salary details

$50.2K

$106.9K

$154.9K

How much do senior analytics engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior analytics engineer in Georgia is $106,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $121,200.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.

What are the key skills and qualifications needed to thrive as a senior analytics engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the most commonly searched types of Analytics Engineer jobs in Georgia?

The most popular types of Analytics Engineer jobs in Georgia are:

What cities in Georgia are hiring for Senior Analytics Engineer jobs?

Cities in Georgia with the most Senior Analytics Engineer job openings:

Infographic showing various Senior Analytics Engineer job openings in Georgia as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, 8% Contract, and 3% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $106,862 per year, or $51.4 per hour.

Senior Analytics Engineer

Federal Home Loan Bank of Atlanta

Atlanta, GA โ€ข On-site

$100K - $138K/yr

Full-time

Posted 17 hours ago

Posted today


Job description

Compensation Grade:

11

BASIC PURPOSE:

The Senior Analytics Engineer plays a pivotal role in the CFO division, focusing on the design, development, and deployment of advanced financial analytics systems and processes. This position ensures the seamless operation and continuous improvement of Analytics Engineering infrastructure, addressing any production issues promptly to support the Bank's strategic goals.

ESSENTIAL FUNCTIONS:

  • Lead the development of complex projects, ensuring compliance with Asset Liability Data Analysis (ALDA) Infrastructure and Standards.
  • Provide support and guidance on infrastructure, standards, financial concepts, and code development solutions to enhance team efficiency, while adhering to Treasury and Bank scripting governance policy.
  • Work with Enterprise Risk Management, Accounting, and Business Operations teams to streamline reporting processes and validation frameworks.
  • Support the maintenance and improvement of Analytics Engineering infrastructure and development standards, including administrative tasks and technology advancements.
  • Collaborate with Data Operations and Governance and other end users to gather requirements, ensure proper documentation, and support post-deployment.
  • Investigate and resolve production incidents reported by Data Operations and Governance and other end users, ensuring solutions are adequate before redeployment.
  • Monitor data accuracy and escalate issues to management or relevant departments for resolution.
  • Utilize Jira and other DevOps management tools to drive efficiency, track projects, monitor progress, and identify areas for improvement.
  • Prioritize projects based on business needs, scope, and resource availability, while communicating with the Director of Treasury Data and Reporting as needed.
  • Collaborate with team members on data consistency assurance, code reviews, design of common data structures, and release of reusable code.
  • Work with financial analysts to ensure the accuracy and usability of financial data and analyses.

KNOWLEDGE, SKILLS, ABILITIES:

  • Must have significant experience in financial analysis and a strong understanding of fixed income accounting concepts
  • Sound knowledge of data-centric concepts including relational databases.
  • Strong Python programming experience.
  • Strong SQL experience.
  • Experience with Git, and any of GitLab, GitHub, or Bitbucket.
  • Experience with collaboration software including Airtable, Confluence and Jira.
  • Experience with ETL or ELT tools, or data wrangling tools.
  • Experience with production deployments.
  • Must be able to take responsibility and function independently, while being a good team player.
  • Good communication and documentation skills.
  • Analytic mindset.
  • Strong familiarity with Microsoft Office products, especially Word, Excel, and PowerPoint.
  • Ability to work under pressure.
  • Ability to develop, maintain and leverage relationships with other teams to support work initiatives.
MINIMUM REQUIREMENTS

Bachelor's degree in computer science, data science, or statistics or equivalent plus 5 years working in development roles in the financial services industry. A master's degree in data science or quantitative analysis/statistics preferred.

Work Location:This individual must reside within commuting distance from ourAtlanta, GAoffice. This position may not be filled in New Jersey, either in-person or remotely.

Work Schedule:Onsite with an opportunity to work remote partially.

We are an equal opportunity employer.