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Business Intelligence & Data Analysis, AWS, BI

Atlanta, Georgia, United States of America

Pay
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Work setup
Unconfirmed
Employment
Full-time — employment source
Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education)
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Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Current and future (OPT) sponsorship are not available for this position
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Apply at FIS Global

What you’ll work on

Full posting
  • Build and maintain data pipelines using dbt, Airflow, and AWS services.

  • Create scalable data models that support analytics and reporting needs.

  • Write, test, and tune SQL for transformation, reporting, and analysis.

From the employer’s posting
You will help design, build, and support analytics data solutions used for reporting and decision-making. The role combines hands-on engineering, data modeling, SQL development, and close partnership with analysts and business teams. You will also help ensure the data is accurate, reliable, and easy to use. Build and maintain data pipelines using dbt, Airflow, and AWS services. Create scalable data models that support analytics and reporting needs.
Build and maintain data pipelines using dbt, Airflow, and AWS services. Create scalable data models that support analytics and reporting needs. Write, test, and tune SQL for transformation, reporting, and analysis.
Create scalable data models that support analytics and reporting needs. Write, test, and tune SQL for transformation, reporting, and analysis. Partner with analysts and stakeholders to translate business needs into data solutions.

What you’ll bring

All qualifications

Core experience

  • Strong SQL skills and confidence working with complex queries.
  • Experience working in Agile teams using tools such as Jira.
  • Experience with dbt and Airflow in analytics or data engineering workflows.
  • Familiarity with GitHub and software development lifecycle practices.
  • Familiarity with AWS services such as S3, EC2, and Redshift.
  • Experience supporting BI platforms in enterprise environments.
Qualification wording
Strong SQL skills and confidence working with complex queries.
Experience working in Agile teams using tools such as Jira.
Experience with dbt and Airflow in analytics or data engineering workflows.
Familiarity with GitHub and software development lifecycle practices.
Familiarity with AWS services such as S3, EC2, and Redshift.
Experience supporting BI platforms in enterprise environments.

Tools in this posting

  • SQL
  • AWS
  • dbt
  • S3
  • Airflow
  • Redshift
  • Tableau
Source — Tool mentions in context
What you will be doing You will help design, build, and support analytics data solutions used for reporting and decision-making. The role combines hands-on engineering, data modeling, SQL development, and close partnership with analysts and business teams. You will also help ensure the data is accurate, reliable, and easy to use. - Build and maintain data pipelines using dbt, Airflow, and AWS services.
- Create scalable data models that support analytics and reporting needs. - Write, test, and tune SQL for transformation, reporting, and analysis. - Partner with analysts and stakeholders to translate business needs into data solutions.
What you bring - Strong SQL skills and confidence working with complex queries. - Experience with dbt and Airflow in analytics or data engineering workflows.
You will help design, build, and support analytics data solutions used for reporting and decision-making. The role combines hands-on engineering, data modeling, SQL development, and close partnership with analysts and business teams. You will also help ensure the data is accurate, reliable, and easy to use. - Build and maintain data pipelines using dbt, Airflow, and AWS services. - Create scalable data models that support analytics and reporting needs.
- Experience with dbt and Airflow in analytics or data engineering workflows. - Familiarity with AWS services such as S3, EC2, and Redshift. - Understanding of data modeling, warehousing, and data quality practices.
- Strong SQL skills and confidence working with complex queries. - Experience with dbt and Airflow in analytics or data engineering workflows. - Familiarity with AWS services such as S3, EC2, and Redshift.
- Partner with analysts and stakeholders to translate business needs into data solutions. - Develop and maintain dashboards and visualizations in Cognos or Tableau. - Monitor data quality, troubleshoot issues, and resolve production problems.

About FIS Global

Are you curious, motivated, and forward-thinking?

In the employer’s words · Read in context

Job description

View original posting ↗

Position Type :

Full time

Type Of Hire :

Experienced (relevant combo of work and education)

Job Description

About FIS

Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.

Current and future (OPT) sponsorship are not available for this position 

Atlanta, GA Hybrid (two days in-office, three days virtual) 

About the team

If you enjoy solving data problems, turning business needs into practical solutions, and working with modern cloud and BI tools, this role offers the chance to do work that matters. You will join a team that values clear thinking, strong collaboration, and continuous improvement.

This team builds and supports analytics solutions that help the business make better decisions. They work across data engineering, reporting, and business intelligence to deliver trusted data, scalable pipelines, and useful dashboards for stakeholders across the organization.

What you will be doing

You will help design, build, and support analytics data solutions used for reporting and decision-making. The role combines hands-on engineering, data modeling, SQL development, and close partnership with analysts and business teams. You will also help ensure the data is accurate, reliable, and easy to use.

  • Build and maintain data pipelines using dbt, Airflow, and AWS services.

  • Create scalable data models that support analytics and reporting needs.

  • Write, test, and tune SQL for transformation, reporting, and analysis.

  • Partner with analysts and stakeholders to translate business needs into data solutions.

  • Develop and maintain dashboards and visualizations in Cognos or Tableau.

  • Monitor data quality, troubleshoot issues, and resolve production problems.

What you bring

  • Strong SQL skills and confidence working with complex queries.

  • Experience with dbt and Airflow in analytics or data engineering workflows.

  • Familiarity with AWS services such as S3, EC2, and Redshift.

  • Understanding of data modeling, warehousing, and data quality practices.

  • Ability to work well with technical and non-technical teams.

  • Clear communication, problem-solving ability, and a practical mindset.

Bonus if you have

  • Experience working in Agile teams using tools such as Jira.

  • Familiarity with GitHub and software development lifecycle practices.

  • Experience supporting BI platforms in enterprise environments.

  • Exposure to financial services or regulated data environments.

  • Ability to create insights and recommendations from business data.

What we offer you

  • Competitive salary and a strong benefits package.

  • Opportunities to grow your technical and professional skills.

  • Meaningful work on important business and technology challenges.

  • A collaborative work environment with supportive teammates.

  • Tools, training, and career development resources to help you progress.


Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here


For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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  • Check the listed location, eligibility and core experience before starting.
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Source & posting history

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Pay

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Location & working pattern

Atlanta, Georgia, United States of America

Current and future (OPT) sponsorship are not available for this position Atlanta, GA Hybrid (two days in-office, three days virtual) About the team
Work authorization
Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun. Current and future (OPT) sponsorship are not available for this position Atlanta, GA Hybrid (two days in-office, three days virtual)
Status in our records
Active
First seen by us
Sep 15, 2026
Recorded sightings
74
Last seen by us
Oct 8, 2026

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