Senior Healthcare Data & Business Analyst (Client‑Facing)

Abacus Insights; United States; On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

401k plan

Unlimited vacation

Ownership stake

Health insurance

Team events

Job summary

Abacus Insights is seeking an experienced Business and Data Analyst to bridge client needs and data solutions in the US healthcare space. You will translate complex healthcare questions into testable requirements, profile and validate data, and draft design specs grounded in evidence.

You will work with Business Solution Managers who own the broader engagement. You'll translate findings into actionable recommendations, write SQL daily to profile data, and quantify data quality.

Qualifications

• 5+ years in business/data analysis within US healthcare environments.
• Proven ability to translate business needs into rigorous data requirements.
• Experience profiling data quality and validating data-driven findings.
• Strong SQL skills and experience with BI/Visualization tools.

Responsibilities

• Translate use cases into clear, testable requirements with success criteria.
• Document mappings, transformation logic, and business rules for build teams.
• Lead discovery sessions and ensure traceability from needs to design.
• Present analyses and data quality findings to stakeholders with confidence.
• Write and execute SQL to profile data and prototype logic before build.

Skills

SQL proficiency

Data profiling

Requirements gathering

Stakeholder communication

Healthcare domain knowledge

Education

Bachelor's degree or equivalent

Tools

Databricks

Snowflake

Job description

Abacus Insights is seeking an experienced Business and Data Analyst to bridge client needs and data solutions in the US healthcare space. You will translate complex healthcare questions into testable requirements, profile and validate data, and draft design specs grounded in evidence.

You will work with Business Solution Managers who own the broader engagement. You'll translate findings into actionable recommendations, write SQL daily to profile data, and quantify data quality.