Data Analyst

Job Title: AI/ML – Data Analyst

Experience: 4+ Years

Location: Remote (2 days in a month at Client Location)

Work Hours: 11:00 AM to 8:30 PM

Position Overview:

We are seeking a highly analytical and detail-oriented AI/ML Data Analyst with a strong background in data management, governance, and healthcare analytics. The ideal candidate will be responsible for ensuring data accuracy and integrity, generating actionable insights, and contributing to AI/ML initiatives that drive healthcare innovation and operational excellence.

Key Responsibilities:

• Data Management & Governance:
• Ensure data accuracy, integrity, and compliance with healthcare regulations (HIPAA, HEDIS, etc.).
• Develop and maintain data models, reports, and dashboards to support data-driven decision-making.
• Perform detailed data profiling, cleansing, and validation to ensure high-quality datasets.
• Strategic Collaboration & Analytics:
• Translate complex business questions into clear analytic requirements.
• Partner with internal teams and external providers to deliver insights that support strategic goals.
• Leverage AI/ML techniques and statistical models to uncover trends and predictive insights.
• Support data integration and automation initiatives across systems and platforms.
• Healthcare-Focused Analytics:
• Contribute to regulatory reporting, value-based care metrics, and clinical performance benchmarking.
• Analyze clinical and operational data to identify improvement opportunities and cost efficiencies.
• Work with healthcare data standards such as FHIR, HL7, and C-CDA to streamline interoperability.

Required Qualifications:

• 3–5+ years of experience in data analytics, data science, or a related field.
• Strong proficiency in SQL and Excel for data querying, cleaning, and reporting.
• Hands-on experience with at least one statistical or scripting language (e.g., Python, R).
• Solid understanding of relational databases, data modeling, and ETL processes.
• Demonstrated experience in data visualization tools (e.g., Power BI, Tableau, or Looker).
• Strong problem-solving, analytical, and critical thinking skills.
• Excellent communication and data storytelling abilities — able to present insights to technical and non-technical audiences.
• Bachelor’s degree in Statistics, Public Health, Healthcare Administration, Computer Science, or a related field.
• Familiarity with FHIR, HL7, and healthcare data exchange standards.
• Experience with HEDIS, clinical interventions, and regulatory frameworks in healthcare.
• Preferred Skills:
• Exposure to AI/ML workflows and familiarity with model development or deployment pipelines.
• Experience working with Azure Data Services, Databricks, or Snowflake.
• Understanding of predictive modeling, NLP, or AI-based data enrichment.
• Knowledge of data governance tools and best practices.
• Strong collaboration and stakeholder management skills within cross-functional teams.