Data Analyst

Role Overview

The Data Analyst will design, develop, and maintain interactive dashboards for IC customer and Directorate Leadership, synthesizing data from diverse sources into actionable visualizations that inform Senior Leadership on cross-enterprise coordination and resourcing decisions.

What You Will Do

Design, build, and maintain executive-level dashboards using Tableau, HTML/web-based solutions, Jira dashboards, and other visualization tools to support Directorate and IC senior leadership decisions.

Why It Might Be a Fit

The ideal candidate will have a strong understanding of data visualization and data manipulation skills, experience with multiple data visualization approaches, and the ability to design and deliver executive-level visualizations that meet a professional appearance standard for non-technical senior leadership audiences.

Requirements

• Active Top Secret/SCI clearance with Counterintelligence (CI) Polygraph.
• US Citizenship is required.
• Bachelor’s degree and 12 years of experience OR Master’s degree and 10 years of experience OR PhD/Doctorate and 8 years of experience OR Associate’s degree and 14 years of experience OR HS Diploma/GED and 16 years of experience.
• Degree in Data Science, Data Engineering, Data Analysis, or related field.
• Mastery of data visualization and data manipulation skills, including Tableau (Desktop, Server, and/or Cloud) dashboard design, calculated fields, parameters, LOD expressions, and data source management.
• Experience with multiple data visualization approaches, including web-based dashboards (HTML/CSS/JavaScript), Jira dashboards, and/or other BI platforms.
• Mastery connecting visualization tools to REST APIs and diverse data sources (Jira, Confluence, SharePoint, relational databases).
• Strong querying and data manipulation skills, proficiency in SQL for data querying, validation, and preparation across multiple data stores.
• Experience with Python for data analysis, API scripting, automation, and AI/ML integration.
• Demonstrated ability to design and deliver executive-level visualizations that meet a professional appearance standard for non-technical senior leadership audiences.
• Experience defining and tracking KPIs, metrics, and performance indicators in support of strategic decision-making.
• Experience or knowledge applying AI technologies (e.g., LLMs, NLP, generative AI, predictive models) to enhance analytical workflows or accelerate data product delivery.
• Have an eye for design, color palette, and layout of information. UI/UX experience and an understanding of the audience, the information they need, and the decisions they are able to make with the data/dashboards.
• Statistical literacy, understanding of distributions, variance, and outliers, correlation vs. causation, data quality and bias issues, etc.
• Strong understanding of data quality principles, data governance, and data classification/taxonomy development.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Life insurance
• Disability insurance
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Award programs
• Paid holidays

Tagged as: Data Analysis