Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and sustain clinical and business performance metrics in alignment with DHA/MHS priorities.

• Continuously update and manage assigned metrics within the centralized Measure Library, ensuring consistency and compliance with governance standards.

• Establish measure specifications, methodologies, and calculation logic.

• Determine suitable data sources, benchmarks, and thresholds utilizing evidence-based practices.

• Examine performance metrics to uncover trends and opportunities for improvement.

• Generate process and outcome metrics, supporting leadership reporting requirements.

• Assist in the development and enhancement of performance measures and analytics outputs to guide decision-making.

• Utilize data science methods for data analysis and to provide predictive insights.

• Identify possibilities for integrating AI/ML capabilities where relevant.

• Work collaboratively with cross-functional stakeholders and assist working groups.

• Prepare briefings, reports, and presentations for leadership.

• Offer guidance on metric interpretation and analytics results.

• Engage with stakeholders to gather requirements and define new or revised performance measures.

• Conduct research and assess data sources; design methodologies for metric calculation and validation.

• Write and maintain Interface Control Documents (ICDs) and detailed specifications; secure stakeholder approval and coordinate handoff to Data Operations for execution.

• Update and govern measure artifacts within the Measure Library to facilitate the transition to Data-as-a-Product frameworks.

⛳️ Requirements

• Bachelor’s degree in Business, Healthcare, Data Analytics, Computer Science, Statistics, or a related field.

• Over 5 years of experience in management analysis, analytics, or similar positions.

• Experience with KPIs, performance measures, or metrics frameworks.

• Strong capability to synthesize complex data into actionable insights and recommendations.

• Must have or be eligible for a SECRET clearance.

• Preferred: Experience supporting DHA, MHS, or federal healthcare settings.

• Knowledge of measure development, healthcare quality metrics, or performance management.

• Proficient in Python, SAS, SQL, Git (or other analytics and version control tools).

• Familiarity with AI/ML or advanced analytics solutions.

🏝️ Benefits

• Competitive salary with bonus opportunities.

• Employer-covered healthcare costs.

• Funding for training and development.

• 401k matching available.