What are the responsibilities and job description for the Data Analytics Developer position at Pinnacle Government Solutions?
Pinnacle Government Solutions is a minority-owned small business that provides Software and Cloud Engineering Solutions for our Department of Defense and Federal Civilian agencies. We bring SME-level expertise and over two decades of industry knowledge and experience. We believe in getting it right for our customers and our country.
We are looking 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.
Key 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.
Skills & Qualifications
- Education and/or Experience: Bachelor’s degree and/or 5 to 8 years of experience
- Security Clearance: TS/SCI with Polygraph
- Technical Skills: 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.
- Analytical Skills: Ability to analyze complex data sets, identify trends, and extract meaningful insights.
- Communication Skills: Ability to communicate technical information clearly and concisely to both technical and non-technical audiences.
- Problem-Solving Skills: Ability to identify and resolve data-related issues and troubleshoot system errors.
- Domain Knowledge: Understanding of the specific business domain and its data requirements.
