Data Systems Analyst

Valence Care | New York, NY

Are you a data-driven problem solver who enjoys turning complex information into meaningful insights? Valence Care is looking for a talented Senior Data Analyst to join our growing team and help us make smarter, data-informed decisions that improve business operations and support quality patient care.

Valence Care is a family of CHHA and LHCSA home healthcare agencies serving New York City's five boroughs, Long Island, Rockland, and Westchester counties. In this role, you'll work closely with business leaders and teams across the organization to analyze data, improve processes, automate reporting, and uncover opportunities to make a real impact.

If you have strong SQL and Python skills, enjoy tackling challenging business problems, and want to see your work make a difference, we'd love to hear from you!

• Analyze large, complex datasets to uncover trends, identify opportunities, and support better business decisions.

• Develop advanced SQL queries and reusable datasets using SQL Server, Snowflake, and other enterprise data sources.

• Use Python to automate data processing, reconciliation, validation, reporting, and other routine tasks.

• Create insightful dashboards and executive reports using Power BI and other reporting tools.

• Partner with operational, clinical, financial, and executive teams to understand their needs and turn business questions into actionable 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 help ensure reporting is accurate and reliable.

• Identify ways to improve efficiency through better analytics, reporting, and automation.

• Document solutions and follow best practices for development, testing, and source control.

• Share your knowledge, mentor junior analysts, and help strengthen the team's analytics capabilities.

• 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, including data analysis, automation, and developing reliable solutions for ongoing business use.

• Proficiency with Power BI or comparable business intelligence and reporting tools.

• Experience with Snowflake or another cloud-based data platform.

• Experience working with REST APIs and structured data formats such as JSON, CSV, and Excel.

• Knowledge of ETL/ELT processes, data pipelines, and workflow automation.

• Familiarity with Git or similar source‑control tools.

• Strong analytical, troubleshooting, and problem‑solving skills.

• The ability to take ownership of a business challenge, from gathering requirements and analyzing data to implementing a practical solution.

• Excellent communication skills and the ability to explain technical findings in a clear, meaningful way to both technical and nontechnical audiences.

• Experience in healthcare, home health, or a related industry.

• Familiarity with operational, clinical, or financial healthcare data.

• Experience with Microsoft Azure and Microsoft Graph.

• Understanding of HIPAA requirements and the importance of protecting protected health information (PHI).

• Experience integrating SaaS platforms and enterprise applications.

Ready to turn data into meaningful results? We'd love to connect with you!

Benefits:

• Health, Dental, Vision

• 401k + Company match

• Paid holidays.

• PTO package

• Paid orientation

• Employee Referral Program

Salary $120,000

EQUAL EMPLOYMENT OPPORTUNITY
We are an equal opportunity employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under federal, state, or local law. Reasonable accommodation is available per ADA and applicable state laws.