Senior Data Analyst

Job Title: Senior Data Analyst – Healthcare Analytics / AI & ML Projects

LOCATION PREFERENCE: VA, MD, WA-DC, NY, PA, NC, SC

Key Responsibilities

• Analyze healthcare data such as claims, enrollment, audit, and operational datasets.
• Write, optimize, and validate complex SQL queries for reporting and analytics needs.
• Support the development and maintenance of reporting tools and dashboards.
• Assist with data validation, quality checks, issue investigation, and root-cause analysis.
• Work with business stakeholders to understand reporting requirements and translate them into data outputs.
• Support analytics work related to machine learning and AI use cases.
• Collaborate with data scientists, machine learning engineers, product teams, and business users.
• Help analyze model outputs, trends, user behavior, and performance metrics where needed.
• Support documentation of data logic, business rules, requirements, and reporting definitions.
• Work in a fast-moving environment where priorities may shift across reporting, analytics, AI, and ML workstreams.

Required Skills & Experience

• 6–8 years of experience as a Data Analyst, Business Data Analyst, Reporting Analyst, or similar role.
• Strong hands-on experience with SQL.
• Experience working with large datasets and complex data structures.
• Background in the healthcare domain, preferably with claims, enrollment, provider, member, audit, or payer data.
• Ability to understand business rules and translate them into data logic.
• Experience creating reports, data extracts, dashboards, or audit-related analytics.
• Strong analytical, problem-solving, and communication skills.
• Ability to work with both technical teams and non-technical business stakeholders.
• Comfortable supporting multiple projects and adapting to changing priorities.

Preferred / Nice-to-Have Skills

• Exposure to AWS tools such as S3, Lambda, SageMaker, Athena, Glue, Redshift, or similar cloud/data tools.
• Basic to intermediate knowledge of Python for data analysis, automation, or validation.
• Experience supporting machine learning, predictive analytics, or AI-related projects.
• Familiarity with generative AI or chatbot analytics is a plus.
• Experience working in Agile/Scrum environments.
• Experience with BI/reporting tools such as Tableau, Power BI, MicroStrategy, QuickSight, or similar.