Business Intelligence & Data Analysis, AWS, BI

FIS Global•Atlanta, GA

1d•Hybrid

About The Position

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). 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.

Requirements

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.

Nice To Haves

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.

Responsibilities

Help design, build, and support analytics data solutions used for reporting and decision-making.
Combine hands-on engineering, data modeling, SQL development, and close partnership with analysts and business teams.
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.