Senior Data Analyst: Kibana Dashboards, TS/SCI, DC Onsite

Tetrad Digital Integrity LLC

Washington (District of Columbia)

On-site

USD 130,000 - 145,000

Full time

3 days ago

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Job summary

Tetrad Digital Integrity (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 ground-floor opportunity to architect, build, and integrate cutting-edge infrastructure solutions for sensitive missions.

This is a fully onsite role requiring daily commuting to the Washington, DC area and an active TS/SCI clearance.

Qualifications

Active DoD TS/SCI security clearance.
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline and 8+ years of relevant experience.
Demonstrable experience designing and building data visualizations and dashboards using Kibana.
Hands-on experience with data cleaning, transformation, and analysis using 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.

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.
Apply visual design principles in dashboards focusing on hierarchy, layout, and accessibility.
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 and alignment with business logic.
Develop and maintain self-service analytics tools and reusable data assets.
Document data models, business logic, transformation processes, and analytics workflows.
Work closely with data engineers, business analysts, and other stakeholders to deliver integrated data solutions.