Data Analyst - Mid

Clearance: Top Secret Required

Position Overview: We are seeking a Data Analyst Mid to support mission-focused programs in Huntsville. The ideal candidate will have strong experience performing data analysis, developing reporting solutions, and working directly with technical and functional teams to gather and define data requirements. The Data Analyst Mid will support data-driven decision making through analysis, visualization, documentation, and reporting activities in secure environments.

Responsibilities: Develop and maintain dashboards, reports, and visualizations using PowerBI.Extract, manipulate, and analyze data using SQL.Work independently with cross-functional teams to gather, define, and document data analysis requirements. Create and maintain data documentation, data dictionaries, and analytical procedures. Utilize Python/R for Statistical scripting. Support continuous improvement initiatives related to data processes and reporting capabilities. Develop data analytics for desktop and web-developed visual analytic software. Facilitate the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing. Use the specified open source, COTS, and GOTS technologies when needed. Establish an application that produces manageable, actionable intelligence from streams of a structured and semi-structured data. Design strategies for enterprise database systems and set standards for operations, programming, and security. Design and construct large relational databases. Integrate new systems with existing warehouse structure and refine system performance and functionality.

Required Qualifications: Active Top Secret (TS) security clearance. Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, or related field (or equivalent experience).Five (5)+ years of relevant experience. Experience with Python and SQL for data analysis and reporting. Experience developing dashboards and reports using PowerBI.Knowledge of Data Pipelines & Warehousing (ETL/ELT).Knowledge of Statistical Scripting such as Python/R.Knowledge of Advanced Data Querying such as SQL.

Desired Qualifications: Experience with Data pipelines and data transformation. Experience with Cribl.

CULTURE REQUIREMENTS: Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and self‐organized. We place a lot of trust in our team members to develop technical solutions for ill‐defined problems (i.e. thrive in an environment where the problem is vague, requirements are lacking, and a solution is not obvious). We need problem solvers. We want our team members to be self‐motivated and eager to learn new skills. If you consider yourself a jack‐of‐all‐trades, and are eager to keep up with the latest trends in technology, you'll fit right in. ABOUT CINTEL, INC:Cintel Inc. is a Small Business providing strategies and services to support an array of Government clients in Software Development, Operational/Tactical and Installation/Facilities Energy, Cyber Security, Modeling and Simulation, Data Science, and Programmatic support. We offer our clients nimble, unique, and value focused solutions with an emphasis on people, connectivity, communication, and teamwork. Our team believes that people drive solutions. By connecting people, information, teams, and experience we deliver solutions that respond to customer needs. It is the policy of Cintel that all persons are entitled to equal employment opportunity regardless of their race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or veteran status. These policies shall ensure that the practice of nondiscrimination will be applied in the employment, promotion, upgrading, demotion, transfer, layoff, termination, recall or rehire of personnel. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training. Department Employment TypeFull-Time Minimum Experience Mid-level