Data Analyst - Palm Springs, FL
Role details
Job location
Tech stack
Job description
We are seeking a detail-oriented, analytical, and proactive Data Analyst to join our Finance team in Palm Springs, FL. This role plays a critical part in supporting revenue cycle operations, billing analytics, supplier invoice analysis, and process improvement initiatives across the organization.
The ideal candidate enjoys working with large datasets, identifying trends, improving reporting processes, and developing solutions that drive operational efficiency. This position works closely with Finance, Revenue Cycle, Operations, and Leadership teams to provide actionable insights that support business decisions and financial performance., The Data Analyst is responsible for managing billing-related reporting, performing financial and operational analysis, supporting revenue cycle processes, and contributing to automation and process improvement initiatives. This role will develop and maintain reports, analyze supplier invoices and billing data, identify trends and discrepancies, and provide insights that improve efficiency and accuracy across multiple business functions., * Manage and support oxygen billing processes, including billing analysis and reporting
- Create, maintain, and enhance recurring operational and financial reports
- Analyze supplier invoices, billing activity, and payment data to identify discrepancies, trends, and opportunities for improvement
- Develop and maintain patient count reports, inventory reports, and performance dashboards
- Perform data reconciliations across Salesforce, QuickBooks, and other business systems
- Support revenue cycle operations through reporting, analysis, and process monitoring
- Identify opportunities to automate manual processes and improve workflow efficiency
- Collaborate with Finance and Operations teams to improve reporting accuracy and data visibility
- Monitor key performance indicators (KPIs) and provide actionable recommendations to leadership
- Assist with month-end reporting and ad hoc financial analysis requests
- Document reporting processes and support departmental standard operating procedures (SOPs)
- Participate in process improvement and automation projects across the department
Requirements
Do you have experience in VLOOKUP function?, Do you have a Bachelor's degree?, * Bachelor's degree in Business, Finance, Analytics, Information Systems, Accounting, or a related field
- 2+ years of experience in data analysis, financial analysis, business intelligence, or reporting
- Advanced Microsoft Excel skills including Pivot Tables, Power Query, VLOOKUP/XLOOKUP, and data analysis techniques
- Experience working with large datasets and multiple data sources
- Experience with Salesforce CRM
- Strong analytical and problem-solving skills
- Excellent attention to detail and data accuracy
- Strong organizational and time management skills
- Ability to communicate findings effectively to both technical and non-technical audiences
- Ability to manage multiple priorities in a fast-paced environment, * Experience supporting healthcare, revenue cycle, billing, or finance operations
- Experience with process automation initiatives
- Knowledge of Power BI, Tableau, SQL, or other reporting tools
- Experience creating dashboards and executive-level reporting
- Experience with inventory, supplier invoice analysis, or operational analytics
Benefits & conditions
Pulled from the full job description
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Parental leave
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401(k)
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Health insurance
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401(k) matching
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Paid time off
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Vision insurance
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Dental insurance, Full-time Monday through Friday 8:00 AM to 4:30 PM On-site in Palm Springs, FL, $65,000 to $80,000 annually, based on experience and qualifications, * 401(k)
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401(k) matching
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Dental insurance
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Health insurance
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Life insurance
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Paid time off
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Parental leave
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Retirement plan
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Vision insurance, This is an opportunity to make a meaningful impact by helping drive data-informed decisions, improve operational efficiency, and support critical revenue cycle and financial processes. If you enjoy solving problems, working with data, and identifying opportunities for improvement, we encourage you to apply. Monday to Friday 8a to 4:30p 40 hours