Data Systems Analyst

Role overview

Responsibilities

• Analyze complex datasets to find trends, opportunities, and decision-support insights.
• Develop advanced SQL queries and reusable datasets using SQL Server, Snowflake, and enterprise data sources.
• Use Python to automate data processing, reconciliation, validation, reporting, and routine tasks.
• Create dashboards and executive reports using Power BI and other reporting tools.
• Partner with operational, clinical, financial, and executive teams to turn business questions into recommendations.
• Integrate data from databases, REST APIs, Excel, CSV, JSON, and cloud-based applications.
• Build and maintain automated data pipelines and reporting workflows.
• Monitor data quality, investigate discrepancies, and support accurate, reliable reporting.
• Identify efficiency improvements through analytics, reporting, and automation.
• Document solutions and follow development, testing, and source-control best practices.
• Share knowledge, mentor junior analysts, and strengthen analytics capabilities.

Required qualifications

• At least 5 years of experience in data analytics, business intelligence, data engineering, or a related field.
• Advanced SQL skills, including complex queries, data transformations, and performance optimization.
• Strong hands-on Python experience for analysis, automation, and reliable ongoing business solutions.
• Proficiency with Power BI or comparable BI and reporting tools.
• Experience with Snowflake or another cloud data platform; REST APIs and structured data formats; and knowledge of ETL/ELT, pipelines, and workflow automation.
• Familiarity with Git or similar source-control tools.
• Strong analytical, troubleshooting, and problem-solving skills; ability to own a business challenge through implementation.
• Excellent communication and ability to explain technical findings to technical and nontechnical audiences.

Nice to have

• Healthcare, home health, or related-industry experience and familiarity with operational, clinical, or financial healthcare data.
• Experience with Microsoft Azure and Microsoft Graph.
• Understanding of HIPAA and the importance of protecting protected health information.
• Experience integrating SaaS platforms and enterprise applications.

Compensation

• The posting states a salary of $120,000; no compensation cadence is specified in the description.

Benefits

• Benefits include health, dental, and vision coverage, 401(k) with company match, paid holidays, PTO, paid orientation, and an employee referral program.