Data Analyst, AI/ML

Initiate Government Solutions, LLC.

. Support the Digital Accessibility Program using data analytics, artificial intelligence, machine learning, and process improvement methodologies .

Posted 9/18/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, machine learning, and digital accessibility, with a strong ability to develop predictive models and interactive dashboards. Proficient in translating complex data findings into actionable insights for diverse stakeholders.

Highest-signal resume keywords

Data AnalysisMachine LearningPredictive ModelingSQLData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsStatistical AnalysisPredictive AnalyticsNatural Language ProcessingData Quality ManagementData IntegrationProcess ImprovementTrend AnalysisBusiness IntelligenceData Extraction

Soft Skills

CommunicationCollaborationProblem-Solving

Tools & Technologies

Power BITableauPythonRAzure AIAzure Machine LearningAWS SageMakerMicrosoft Power PlatformSharePointMicrosoft 365

Certifications & Qualifications

Public Trust

Industry Keywords

Digital AccessibilitySection 508WCAGComplianceData Governance

Tech Stack

Tools & technologies

AWSAzurePythonSQLTableau

About the role

Key responsibilities & impact

Support the Digital Accessibility Program using data analytics, artificial intelligence, machine learning, and process improvement methodologies
Collect, analyze, and interpret data from accessibility testing, web crawler results, helpdesk operations, service requests, user feedback, and program performance metrics
Develop and maintain interactive dashboards, KPI reports, and executive-level analytics
Identify key metrics for measuring digital accessibility program performance and recommend strategies for addressing data gaps
Design and implement AI and machine learning models to identify patterns, predict service demand, and forecast accessibility trends
Develop predictive analytics models to identify recurring accessibility barriers, testing deficiencies, and operational risks
Apply natural language processing to customer feedback, tickets, and service requests to categorize issues and recommend corrective actions
Perform trend analysis and statistical modeling for strategic planning and continuous improvement
Collaborate with Program Managers, Accessibility Specialists, and Government stakeholders to translate business requirements into analytical solutions
Develop data governance processes, analytics methodologies, and reporting frameworks
Conduct process assessments and recommend efficiency improvements using industry-standard frameworks
Produce Data Analytics Plans, Process Improvement Plans, monthly reports, dashboards, and executive briefings
Attend onsite client meetings if requested

Requirements

What you’ll need

Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or related field
5+ years of experience performing data analysis, business intelligence, or data science activities
Experience developing data visualizations and dashboards using Power BI, Tableau, or similar tools
Experience working with large datasets, data integration, and data quality management
Strong knowledge of SQL and data extraction methodologies
Experience with Python, R, or other analytics/programming languages
Experience applying statistical analysis, predictive modeling, and forecasting techniques
Ability to communicate technical findings to executive and non-technical audiences
Ability to work in the United States without sponsorship
Ability to obtain and maintain a Public Trust
Preferred: experience supporting accessibility, Section 508, WCAG, or digital compliance initiatives
Preferred: experience developing AI/ML solutions in Azure AI, Azure Machine Learning, AWS SageMaker, or similar platforms
Preferred: experience utilizing NLP techniques for text analytics, sentiment analysis, classification, and automation
Preferred: experience with SharePoint, Microsoft Power Platform, and Microsoft 365 analytics solutions
Preferred: experience implementing predictive analytics and AI-driven decision support systems

Benefits

Comp & perks

Comprehensive medical, dental, and vision care
Matching 401K and profit sharing
Paid time off
Training time for personal development
Flexible spending accounts
Employer-paid life insurance
Employer-paid short- and long-term disability coverage
Education assistance program with potential merit increases for obtaining a work-related certification
Employee recognition programs
Referral programs
Spot bonuses
Other benefits that help provide financial protection for the employee and their family