Mid Level Data Analyst

We are seeking a Mid-Level Data Analyst to support the development of advanced data analytics and visual analytics solutions for enterprise environments. The ideal candidate will have experience designing data pipelines, building dashboards, developing analytics using modern programming languages, and transforming structured and semi-structured data into actionable intelligence.

This role will support enterprise database design, data integration, visualization, and high-performance analytics while leveraging commercial, government, and open-source technologies., Develop advanced data analytics for desktop and web-based visual analytics applications. Design and build interactive dashboards and visualizations using business intelligence tools. Perform bulk analysis of structured and semi-structured data to identify trends and actionable insights. Develop and maintain SQL queries for data extraction, reporting, and analysis. Design, implement, and optimize enterprise data pipelines and ETL/ELT processes. Integrate new data sources into existing enterprise data warehouse environments. Design, develop, and maintain large relational databases. Improve database performance, functionality, and scalability. Develop analytics using Python, R, or similar statistical scripting languages. Support data transformation and data engineering initiatives. Collaborate with technical teams and stakeholders to deliver data-driven solutions. Utilize commercial off-the-shelf (COTS), government off-the-shelf (GOTS), and open-source technologies to support analytics capabilities.

Education: Bachelor's Degree (B.S. or B.A.) Required, 5+ years of experience in data analytics, data engineering, or business intelligence. Strong experience writing advanced SQL queries for data analysis and reporting. Experience developing dashboards and reports using Power BI, Tableau, or similar BI platforms. Experience with Python, R, or other statistical scripting languages. Experience designing, developing, and maintaining ETL/ELT data pipelines. Experience working with relational databases and enterprise data warehouse environments. Knowledge of data modeling, database optimization, and performance tuning. Ability to analyze structured and semi-structured datasets to produce actionable insights. Strong analytical, problem-solving, and communication skills., Experience with Cribl. Experience building and supporting enterprise data pipelines. Experience with large-scale data transformation initiatives. Familiarity with high-performance computing and advanced visualization technologies. Experience integrating multiple enterprise data sources. Education Bachelor's Degree (B.S. or B.A.) in Computer Science, Data Science, Information Systems, Mathematics, Engineering, or a related technical field.