Data Analyst

Responsibilities

• 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.
• Establish and maintain data pipelines connecting diverse sources—Jira REST API, Confluence, SharePoint, and other enterprise platforms—to visualization tools, ensuring reliable, secure, and timely data access.
• Leverage AI and machine learning technologies (e.g., LLMs, NLP, generative AI, predictive analytics) to accelerate analysis, automate reporting, and enhance visualization delivery.
• Collect, curate, and integrate data from structured and unstructured sources including Jira, Confluence, SharePoint, briefings, presentations, and other enterprise repositories.
• Collaborate with the MID Strategy team and stakeholders to elicit reporting requirements, define key performance indicators (KPIs), and translate strategic questions into visualization solutions tailored to the appropriate tool, delivery format, and audience.
• Analyze operational and programmatic datasets to uncover trends and insights supporting enterprise planning and resource allocation.
• Evaluate, recommend, and prototype new visualization tools and AI-enabled analytics capabilities to continuously improve decision-support products.
• Develop standardized data taxonomies and naming conventions to ensure consistent and accurate reporting across MID.
• Conduct data validation and quality assurance across all ingested data sources to ensure accuracy, completeness, and timeliness of dashboard outputs.
• Present data-driven findings and dashboard walkthroughs to senior leadership, translating technical analytics into executive-level narratives.
• Maintain a professional appearance and polished presentation standard for all dashboard deliverables and visualization products shared with MID and NRO Senior Leadership audiences.
• Document dashboard designs, data dictionaries, data flows, API integration architecture, and AI model usage to support knowledge transfer and sustainment.

Required Qualifications

• 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