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Provider Data Operations Jobs in New York (NOW HIRING)

Market Data Operations Manager

New York, NY ยท On-site

$110K - $150K/yr

In this dynamic position, you'll work closely with our Managed Service Provider and the wider MDFM ... To be successful as a Market Data Operations Manager, you should have: * Experience directing a ...

Senior Data Operations Analyst

New York, NY ยท On-site

$95K - $135K/yr

About the Role Allocate is looking to add a Senior Data Operations Analyst to the team in New York ... Providing our clients with a world-class experience is our number one priority. We obsessively ...

Data Engineering TA to provide$90,000 - $115,000 Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their ...

Healthcare Data Engineer

New York, NY ยท Remote

$117K - $140K/yr

Maintain a strong knowledge of medical claims, member data, and provider data. Agile Development ... Data Operations: Experience with ETL processes and QA within a SQL environment. Experience ...

... operations, data governance and technology teams, you will build deep expertise in the domain ... We provide a unique and collaborative culture that leads to expansive careers with a steady stream ...

Showing results 21-40

Provider Data Operations information

What are the key skills and qualifications needed to thrive in provider data operations?

To excel in Provider Data Operations, you need strong analytical skills, attention to detail, and experience with healthcare data management, often supported by a bachelor's degree in a related field. Familiarity with provider data management systems, claims processing software, and tools like Excel or SQL is typically required. Excellent communication, problem-solving abilities, and organizational skills help professionals collaborate effectively and resolve data discrepancies. These competencies ensure accurate provider information, regulatory compliance, and seamless healthcare operations.

What is provider data operations?

Provider Data Operations refers to the processes involved in managing and maintaining accurate information about healthcare providers within an organization. This includes collecting, verifying, updating, and organizing data such as provider credentials, specialties, contact information, and practice locations. These operations are essential for ensuring that provider directories are current, claims are processed correctly, and regulatory requirements are met. Efficient provider data management supports better patient care, reduces administrative errors, and helps organizations comply with industry standards.

What is the difference between Provider Data Operations vs Provider Data Analysts?

AspectProvider Data OperationsProvider Data Analysts
Primary FocusManaging and maintaining provider data systems, workflows, and data integrityAnalyzing provider data to generate insights, reports, and support decision-making
Required SkillsData management, system administration, attention to detailData analysis, reporting, statistical skills
Work EnvironmentData management teams, healthcare IT departmentsAnalytics teams, healthcare business units
CertificationsData management certifications, healthcare IT credentialsData analysis certifications, healthcare analytics training

Provider Data Operations primarily focuses on maintaining and managing provider data systems and workflows, ensuring data accuracy and integrity. Provider Data Analysts analyze provider data to generate insights and support strategic decisions. While both roles work with provider data, Operations emphasizes data management processes, whereas Analysts focus on data interpretation and reporting.

What are some common challenges faced in provider data operations, and how are they typically addressed?

Provider Data Operations professionals often encounter challenges such as maintaining accurate and up-to-date provider information, ensuring compliance with regulatory requirements, and coordinating data across multiple systems or departments. To address these challenges, teams frequently use robust data management software, implement regular audits, and collaborate closely with IT, compliance, and provider relations teams. Continuous process improvement and clear communication are also essential to minimize errors and streamline workflows.
What cities in New York are hiring for Provider Data Operations jobs? Cities in New York with the most Provider Data Operations job openings:
Infographic showing various Provider Data Operations job openings in New York as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Temporary. Highlights an 96% In-person, and 4% Hybrid job distribution.

Data Operations Engineer (USA)

Trexquant Investment

Stamford, CT โ€ข On-site

$74K - $100K/yr

Full-time

Medical, Dental, Vision

Re-posted 29 days ago


Job description

Trexquant is a growing systematic fund manager with a core team of highly accomplished technologists. We are currently seeking an enthusiastic and skilled Data Operations Engineer with a strong operational focus to join our team. As a Data Operations Engineer, you will play a crucial role in monitoring and optimizing our trading processes, enhancing our development and deployment processes, and contributing to the overall efficiency and success of our operations. If you are passionate about optimizing operational workflows, ensuring system reliability, and driving continuous improvement, we encourage you to apply.
Responsibilities:
(1) Operational Monitoring and Troubleshooting:
  • Collaborate with teams to establish robust monitoring and alerting systems that provide real-time insights into the trading process status.
  • Take a proactive approach to monitoring, promptly identifying and resolving operational issues to minimize downtime and disruptions.

(2) Continuous Integration and Deployment:
  • Develop, enhance, and maintain pipelines dedicated to facilitating data/alpha/strategy generation, testing, and deployment procedures.
  • Foster close collaboration with research teams to ensure the smooth deployment of scripts, promoting seamless integration of research findings into practical applications.

(3) Quality Control and Assurance:
  • Establish and sustain quality control measures to ensure the consistency and robustness of scripts and applications.
  • Conduct regular inspections and audits of production lines to identify and rectify any quality-related issues promptly.

(4) Continuous Improvement Initiatives:
  • Identify opportunities for continuous improvement within the production process, driven by data analysis and performance metrics.
  • Lead or contribute to cross-functional improvement projects aimed at enhancing production efficiency and increasing overall output.

(5) Documentation and Reporting:
  • Maintain accurate records of production processes, performance metrics, and quality control data.
  • Generate regular reports and provide insights to management on production performance, trends, and improvement initiatives.

Requirements
  • Strong working knowledge of Python and Linux is a must.
  • Experience working with SQL is an advantage.
  • Prior development experience in fault-tolerant distributed or data intensive applications is a plus.
  • Process-driven with strong attention to detail.
  • Ability and willingness to adapt to new challenges in a dynamic environment with shifting priorities.
  • Background in Computer Science, Engineering or a related field.

Benefits
  • Competitive salary plus bonus based on individual and company performance.
  • Collaborative, casual, and friendly work environment.
  • PPO Health, dental and vision insurance premiums fully covered for you and your. dependents.
  • Pre-tax commuter benefits.
  • Weekly company meals.

Trexquant is an Equal Opportunity Employer