Data Analyst with Security Clearance

Tetrad Digital Integrity (TDI) is a leading-edge cybersecurity firm with a mission to safeguard and protect our customers from increasing threats and vulnerabilities in this digital age. TDI is seeking a Data Analyst to support a brand-new Agile development team at the forefront of federal IT modernization, delivering real digital transformation where it matters most. This is a rare ground-floor opportunity to architect, build, and integrate cutting-edge infrastructure solutions in support of some of our nation's most sensitive and critical missions. This is a fully onsite opportunity requiring a daily commute to the Washington, DC area. An active TS/SCI security clearance is required.

RESPONSIBILITIES

Gather, clean, and validate data from multiple sources to ensure accuracy, consistency, and usability. Analyze complex datasets to identify trends, patterns, and insights that answer operational and business questions. Design and develop interactive dashboards, reports, and visualizations using Kibana as the primary tool, ensuring findings are communicated clearly and effectively to stakeholders. Applying the basics of visual design (i.e.

UI) principles in their design work such as visual hierarchy, proximity, similarity, font selection and color theory and demonstrate an understanding of visual, layout, content organization, and accessibility guidelines. Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences. Engage with stakeholders to understand business needs, operational challenges, and data requirements. Refine and maintain data transformation pipelines, ensuring data quality, reliability, and alignment with business logic.

Develop and maintain self-service analytics tools and reusable data assets to empower end users. Document data models, business logic, transformation processes, and analytics workflows for transparency and knowledge sharing. Work closely with data engineers, business analysts, and other stakeholders to deliver integrated data solutions.

QUALIFICATIONS

Active DoD TS/SCI security clearance. Ability to pass additional customer suitability screening(s) prior to start. Current Security+ or equivalent/higher
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline and 8+ years of relevant experience. Additional experience may be considered in lieu of degree. Demonstrable experience designing and building data visualizations and dashboards using Kibana.

Hands-on experience with data cleaning, transformation, and analysis using tools such as Python (pandas, numpy), SQL, or R. Strong understanding of data modeling, ETL processes, and data pipeline development. Ability to translate business requirements into technical solutions and actionable insights. Excellent communication skills, with the ability to present complex data findings to diverse audiences. Experience with version control systems (e.g., Git) and collaborative development environments. Strong attention to detail and commitment to data quality and reliability.

Strong communication and documentation skills for collaboration and knowledge sharing. Experience in application integration design and strong communication skills for collaboration with virtual teams.

PREFERRED QUALIFICATIONS

Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for data analysis and visualization.
Experience with other data visualization tools such as Tableau, Power BI, Grafana, or similar.
Experience developing self-service analytics solutions and reusable data assets.
Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies.
Knowledge of data governance, security, and compliance best practices.

PAY RANGE

The anticipated salary range for this position is $130,000 - $145,000. This range is a good-faith estimate and not a guarantee of compensation. Final compensation will be based on factors including experience, education, skills, geographic location, internal equity, market data and applicable contract requirements, and may fall outside the posted range.