Data Analytics Developer, Senior

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. We are seeking individuals with a passion for keeping pace with rapidly evolving technology advancements and leveraging their 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. This position is located in USA VA Arlington, a hybrid working model is acceptable. 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 requires a proactive individual with strong technical skills and the ability to manage and improve processes effectively.

Requirements

Bachelor's degree and/or 5 to 8 years of experience.
Active TS/SCI and the ability to obtain and maintain a TS/SCI with CI Poly
Strong programming skills (e.g., Python, R, SQL), experience with data visualization tools (e.g., Tableau, Power BI), and knowledge of data modeling and ETL processes.
Ability to analyze complex data sets, identify trends, and extract meaningful insights.
Ability to communicate technical information clearly and concisely to both technical and non-technical audiences.
Ability to identify and resolve data-related issues and troubleshoot system errors.
Understanding of the specific business domain and its data requirements.

Responsibilities

Analyze large datasets to identify trends, correlations, and patterns.
Develop and test data models to support data analysis.
Design, develop, and maintain data analysis systems and pipelines.
Ensure data quality, implement ETL processes, and manage data collection.
Work with stakeholders to define data requirements, troubleshoot issues, and implement data-driven solutions.
Create reports and visualizations to communicate insights and inform decision-making.