Data Visualization Analyst – Power Platform

LMI

. Lead the design and delivery of executive dashboards, operational reports, analytical visualizations, and interactive decision-support products .

Posted 10/27/2026full-timeRemote • United StatesSeniorLead💰 $93,000 - $158,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in data visualization and analytics, particularly with Power BI and Tableau, while effectively translating complex stakeholder needs into actionable dashboard solutions. Strong capabilities in data storytelling, validation, and managing enterprise-level visualization standards are essential.

Highest-signal resume keywords

Power BI/Power Platform ExpertiseData Visualization SkillsData Modeling and SQL ProficiencyKPI Definition and ReportingMicrosoft Power BI Data Analyst Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data VisualizationDashboard DesignData StorytellingSQLDAXPower QueryTableauSemantic ModelsData RelationshipsCalculations

Soft Skills

Stakeholder EngagementMentoringCommunicationUsability TestingCollaboration

Tools & Technologies

Power BITableauPower AppsPower AutomateSharePointDataverseMicrosoft FabricAzure ServicesTableau Server/CloudSnowflake

Certifications & Qualifications

Microsoft Power BI Data Analyst (PL-300)Microsoft Power Platform Solution ArchitectTableau Certified Data Analyst

Industry Keywords

Business IntelligenceData AnalyticsFederal HealthVA/VHAAI/MLAccessibility/Section 508Enterprise Visualization StandardsDecision-Support ProductsOperational ReportsVisual Analytics

Tech Stack

Tools & technologies

AzureCloudSnowflakeSQLTableau

About the role

Key responsibilities & impact

Lead the design and delivery of executive dashboards, operational reports, analytical visualizations, and interactive decision-support products
Translate business and mission questions into visual narratives, KPI frameworks, measures, drill paths, filters, alerts, and reporting experiences
Design and optimize semantic models, data relationships, calculations, measures, transformations, and reusable analytical layers
Apply data-visualization principles, information hierarchy, visual perception, data storytelling, and dashboard design practices
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
Manage publishing, row-level security, refresh schedules, workspace/site organization, permissions, deployment, and production support
Integrate products with Power Apps, Power Automate, SharePoint, Dataverse, or Microsoft Fabric when needed
Establish dashboard templates, visualization standards, measure definitions, design patterns, documentation, and governance practices
Partner with data analysts, data engineers, AI/data science resources, clinical/domain SMEs, and program teams
Support visualization of AI-related measures including adoption, evaluation results, quality, performance, user feedback, human oversight, and operational impact
For Senior-level assignments, provide peer review and mentoring, advise leaders on visualization strategy, and challenge misleading or low-value reporting approaches

Requirements

What you’ll need

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
7+ years of experience in data visualization, business intelligence, analytics, dashboarding, or decision-support delivery
Senior placement generally requires 10+ years plus demonstrated leadership of complex visualization portfolios or standards
Advanced hands-on expertise with Power BI/Power Platform or Tableau, including 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 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
Recommended certification: Microsoft Power BI Data Analyst (PL-300), Microsoft Power Platform Solution Architect/related Power Platform credential, Tableau Certified Data Analyst, or comparable BI/data-visualization certification
Ability to satisfy VA personnel vetting and applicable security, privacy, accessibility, records-management, and data-handling requirements
Desired experience with VA, VHA, federal health, federal analytics/visualization, Microsoft Fabric, Dataverse, SharePoint, Power Apps, Power Automate, Azure services, Tableau Server/Cloud, SQL Server, Databricks, Snowflake, enterprise visualization standards, AI/ML, generative AI, mentoring, peer reviews, and senior-stakeholder advising
Portfolio or work samples demonstrating sophisticated dashboards, visual analytics, data storytelling, or complex decision-support products is highly desirable