Data Systems Analyst
About The Position
Valence Care is looking for a talented Senior Data Analyst to join their growing team. This role will focus on making smarter, data-informed decisions to 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. The analyst will 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. This position requires strong SQL and Python skills and a desire to tackle challenging business problems.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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 knowledge, mentor junior analysts, and help strengthen the team's analytics capabilities.
Benefits
- Health, Dental, Vision
- 401k + Company match
- Paid holidays.
- PTO package
- Paid orientation
- Employee Referral Program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
