Data Visualization Analyst
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LMI is seeking a Data Visualization Analyst - Power Platform to create high-impact visual analytics and decision-support products for Department of Veterans Affairs (VA) modernization initiatives. This role combines advanced data visualization, business intelligence, semantic modeling, and stakeholder engagement to turn complex operational and program data into clear, actionable information.
The Data Visualization Analyst will lead the design and delivery of executive dashboards, operational reporting, analytical visualizations, and interactive decision-support experiences using Microsoft Power BI/Power Platform, Tableau, or comparable enterprise visualization tools. The successful candidate must understand both the data behind the visual and the decisions the visual is intended to support.
This is not a screen-building-only role. The analyst will work with stakeholders to define measures, clarify business questions, validate source data, establish visual hierarchy, test usability, and communicate trends, exceptions, uncertainty, and performance in ways that are accurate, accessible, and easy to act on.
Candidates should independently own complex visualization products and multi-source reporting. Senior candidates should additionally set visualization standards, advise executives, mentor team members, and shape enterprise approaches to semantic models, dashboard governance, accessibility, and visual analytics. The ideal candidate combines sophisticated data storytelling with strong analytical judgment and hands-on Power BI/Power Platform or Tableau expertise. Prior experience supporting AI/ML, generative AI, or other AI-enabled programs and projects is highly desired.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
- Lead the design and delivery of executive dashboards, operational reports, analytical visualizations, and interactive decision-support products using Power BI/Power Platform, Tableau, or comparable enterprise visualization tools.
- Translate business and mission questions into clear visual narratives, KPI frameworks, measures, drill paths, filters, alerts, and reporting experiences that support specific decisions and actions.
- Design and optimize semantic models, data relationships, calculations, measures, transformations, and reusable analytical layers using Power BI/DAX/Power Query, Tableau calculations/LOD expressions, or comparable methods.
- Apply advanced data-visualization principles, information hierarchy, visual perception, data storytelling, and dashboard design practices to make complex information understandable without oversimplifying it.
- Validate source data, metric definitions, calculation logic, filters, denominators, refresh behavior, performance, permissions, and visual outputs to ensure dashboards are accurate, defensible, and traceable.
- Conduct stakeholder working sessions and lightweight usability testing; apply Section 508/WCAG and inclusive-design practices to interactions, color use, keyboard behavior, labels, and alternative representations.
- Manage publishing, row-level security, refresh schedules, workspace/site organization, permissions, deployment practices, and production support for visualization products.
- Integrate visualization products with approved Power Platform capabilities such as Power Apps, Power Automate, SharePoint, Dataverse, or Microsoft Fabric when workflow or user interaction requires more than a dashboard alone.
- Establish reusable dashboard templates, visualization standards, measure definitions, design patterns, documentation, and governance practices that improve consistency across workstreams.
- Partner with data analysts, data engineers, AI/data science resources, clinical/domain SMEs, and program teams to ensure authoritative sources, accurate interpretation, effective user enablement, and continuous improvement based on usage and feedback. Support visualization of AI-related measures such as solution adoption, evaluation results, quality, performance, user feedback, human oversight, and operational impact where applicable.
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