Data Analytics Developer, Senior

CGI•Arlington, VA

8d•$99,200 - $241,600•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 our Arlington, VA office; however, a hybrid working model is acceptable. Your future duties and responsibilities: Data Analysis and Modeling: Analyzing large datasets to identify trends, correlations, and patterns. Developing and testing data models to support data analysis. System Development: Designing, developing, and maintaining data analysis systems and pipelines. Data Management: Ensuring data quality, implementing ETL processes, and managing data collection. Collaboration: Working with stakeholders to define data requirements, troubleshoot issues, and implement data-driven solutions. Reporting and Visualization: Creating reports and visualizations to communicate insights and inform decision-making.

Requirements

Bachelor’s degree and/or 5 to 8 years of experience
TS/SCI with CI Poly
Strong programming skills (e.g., Python, R, SQL)
Experience with data visualization tools (e.g., Tableau, Power BI)
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

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.