Data Visualization Analyst - Power Platform

LMI•Remote,

1d•$93,000 - $158,000•Remote

About The Position

LMI is seeking a Data Visualization Analyst to create high-impact visual analytics and decision-support products for Department of Veterans Affairs modernization initiatives. The role combines data visualization, business intelligence, semantic modeling, and stakeholder engagement to turn complex operational and program data into clear, actionable information. The analyst leads the design and delivery of executive dashboards, operational reports, analytical visualizations, and interactive decision-support experiences using Power BI/Power Platform, Tableau, or comparable enterprise visualization tools. The role requires understanding both the underlying data and the decisions the visual products are intended to support. Analysts work with stakeholders to define measures, clarify business questions, validate source data, establish visual hierarchy, test usability, and communicate trends, exceptions, uncertainty, and performance accurately and accessibly. Candidates are expected to independently own complex visualization products and multi-source reporting. Senior-level assignments additionally involve setting visualization standards, advising executives, mentoring team members, and shaping enterprise approaches to semantic models, dashboard governance, accessibility, and visual analytics. Prior experience supporting AI/ML, generative AI, or other AI-enabled programs and projects is highly desired. LMI is a digital solutions provider focused on accelerating government impact with innovation and speed. It develops commercial-grade platforms and mission-ready AI for federal agencies, serving the defense, space, healthcare, and energy sectors. LMI is headquartered in Tysons, Virginia. This position is listed as US-Remote.

Requirements

Bachelor's degree in data analytics, business intelligence, information systems, statistics, computer science, design, engineering, or a related field; equivalent professional experience may be considered.
At least 7 years of experience in data visualization, business intelligence, analytics, dashboarding, or decision-support delivery. Senior placement generally requires at least 10 years and demonstrated leadership of complex visualization portfolios or standards.
Advanced hands-on expertise with Power BI/Power Platform or Tableau, including designing complex, production-grade dashboards and visual analytics for executive and operational audiences.
Strong data-visualization and data-storytelling skills, including visual hierarchy, chart selection, information density, interaction design, accessibility/Section 508, and clear communication of trends, comparisons, exceptions, uncertainty, and performance.
Strong data-modeling and analytical skills, including SQL and Power BI semantic models/DAX/Power Query, Tableau data models/calculations, or comparable enterprise BI methods.
Ability to translate ambiguous stakeholder needs into KPI definitions, reporting requirements, dashboard concepts, prototypes, and production-ready decision-support products.
Experience validating source data and calculations and managing dashboard performance, publishing, access control, versioning, documentation, support, and enterprise lifecycle practices.
Ability to satisfy VA personnel vetting and applicable security, privacy, accessibility, records-management, and data-handling requirements.

Nice To Haves

Recommended certification such as Microsoft Power BI Data Analyst (PL-300), a Microsoft Power Platform Solution Architect or related credential, Tableau Certified Data Analyst, or comparable BI/data-visualization certification.
Prior VA, VHA, federal health, or other federal analytics/visualization experience, particularly supporting executive reporting, operational performance, modernization, or adoption measurement.
Experience with Microsoft Fabric, Dataverse, SharePoint, Power Apps, Power Automate, Azure services, Tableau Server/Cloud, SQL Server, Databricks, Snowflake, or comparable enterprise data platforms.
Experience developing enterprise visualization standards, dashboard design systems, reusable templates, semantic-model standards, Centers of Excellence, or governed self-service analytics practices.
Prior experience supporting AI/ML, generative AI, intelligent automation, or other AI-enabled programs/projects, including translating AI measures into visual analytics and decision-support products.
Experience mentoring analysts/designers, conducting peer reviews, and advising senior stakeholders on metric selection, visual communication, and dashboard strategy.
A portfolio or work samples demonstrating sophisticated dashboards, visual analytics, data storytelling, or complex decision-support products.

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 visual narratives, KPI frameworks, measures, drill paths, filters, alerts, and reporting experiences that support decisions and actions.
Design and optimize semantic models, data relationships, calculations, measures, transformations, and reusable analytical layers using Power BI/DAX/Power Query, Tableau methods, or comparable approaches.
Apply data-visualization principles, information hierarchy, visual perception, data storytelling, and dashboard design practices to make complex information understandable.
Validate source data, metric definitions, calculation logic, filters, denominators, refresh behavior, performance, permissions, and visual outputs.
Conduct stakeholder working sessions and 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.
Integrate visualization products with approved Power Platform capabilities such as Power Apps, Power Automate, SharePoint, Dataverse, or Microsoft Fabric when needed.
Establish reusable dashboard templates, visualization standards, measure definitions, design patterns, documentation, and governance practices.
Partner with analysts, data engineers, AI/data science resources, clinical/domain SMEs, and program teams to support authoritative sourcing, accurate interpretation, user enablement, and continuous improvement.
Support visualization of AI-related measures such as adoption, evaluation results, quality, performance, user feedback, human oversight, and operational impact where applicable.
For Senior-level assignments, provide peer review and mentoring, advise leaders on visualization strategy, and challenge misleading, redundant, or low-value reporting approaches.