Data Analytics Developer, Journeyman

CGI Group Inc.•Arlington, TX

63d•$100,000 - $150,000•Hybrid

About The Position

CGI Federal has an exciting opportunity for a Data Analytics Developer within our Intel sector advancing the national security mission through cutting edge technology. You must have a passion for keeping pace with rapidly evolving technology advancements and leveraging your knowledge on a highly collaborative team to deliver state-of-the-art capabilities. The Data Analytics Developer designs, develops, and maintains systems for analyzing data, identifying trends, and creating data-driven solutions. They are responsible for developing algorithms and models to automate data analysis tasks, as well as designing and implementing data pipelines for data integration and reporting. CGI Federal is growing its high-performance team whose members share a passion for building high-quality, scalable, advanced IT solutions in a collaborative, fast-paced, outcome-driven mission. This position is located in USA VA Arlington; hybrid working model is acceptable.

Requirements

Bachelor's degree and 2- 5 years experience.
Active TS/SCI and the ability to obtain and maintain a TS/SCI with CI Poly.
Analyzing large datasets to identify trends, correlations, and patterns.
Developing and testing data models to support data analysis.
Designing, developing, and maintaining data analysis systems and pipelines.
Ensuring data quality, implementing ETL processes, and managing data collection.
Working with stakeholders to define data requirements, troubleshoot issues, and implement data-driven solutions.
Creating reports and visualizations to communicate insights and inform decision-making.

Responsibilities

Analyzing large datasets to identify trends, correlations, and patterns.
Developing and testing data models to support data analysis.
Designing, developing, and maintaining data analysis systems and pipelines.
Ensuring data quality, implementing ETL processes, and managing data collection.
Working with stakeholders to define data requirements, troubleshoot issues, and implement data-driven solutions.
Creating reports and visualizations to communicate insights and inform decision-making.