Senior Data Operations Analyst

Our Company:  

Start your next chapter at Revecore! For over 25 years, we’ve been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities. We’re powered by people, driven by technology, and dedicated to our clients and employees. 

As part of our team, you’ll be rewarded with: 

• Comprehensive medical, dental, vision, and life insurance benefits from the start of your employment 
• 12 paid holidays and flexible paid time off    
• 401(k) contributions   
• Employee Resource Groups that build community  
• Career growth opportunities   
• An excellent work/life balance 

Location: Remote – USA    

Revecore is embarking on re-architecting and modernizing its core platform.  As part of this, the Data Operations team at Revecore is building upon its capabilities to ensure data accuracy, data integrity, and availability of data assets across the business.  This team plays a pivotal role in driving data-driven excellence within our organization.  The accuracy and quality of our products starts with us.  It is our job to maintain a data infrastructure that is built on this trust and reliability. 

 

The Senior Data Operations Analyst will play a key role within the Technology team, overseeing data quality, monitoring, and optimization across the data pipeline. This role involves leading efforts to ensure the accuracy, completeness, and integrity of data through advanced quality checks, automated monitoring, and continuous improvement of data workflows. You will take ownership of identifying and resolving data discrepancies, while collaborating closely with cross-functional teams to design scalable and efficient data solutions. By enforcing best practices and ensuring adherence to compliance standards, you will enable data-driven decision-making across the business. Success in this role requires strong technical expertise, strategic oversight, and effective collaboration with internal and external stakeholders to understand and meet the organization’s evolving data needs. 

   

What You'll Do  

  

• Lead the design and implementation of end-to-end data quality frameworks, ensuring the accuracy, completeness, and integrity of data across the entire data pipeline. 
• Establish automated data validation and monitoring systems to proactively detect and resolve data quality issues, ensuring compliance with industry standards and business requirements. 
• Design, develop, and optimize advanced queries and reports to support operational data analysis, ensuring they meet performance, accuracy, and quality standards. Provide data-driven insights for process improvements and business decision-making. 
• Perform in-depth data analysis to identify trends, anomalies, and root causes of data issues, offering recommendations for system improvements and process optimizations. 
• Collaborate closely with stakeholders (engineering, product, business) to prioritize high-impact data quality issues and coordinate timely resolution. 
• Design and implement analytical queries, views, and stored procedures (T-SQL) to support complex data analysis tasks and troubleshooting efforts, optimizing for both performance and accuracy. 
• Oversee the data reconciliation process between multiple systems on continuously improving data fidelity. 
• Oversee the design and continuous improvement of data monitoring systems to track key metrics (e.g., data timeliness, completeness, consistency) and to alert teams to anomalies or issues. 
• Review and optimize existing SQL