Remote Data Operations Analyst Jobs
Remote data operations analyst jobs are open across the U.S. at remote-first firms, distributed tech teams, and data-driven organizations in sectors like software, finance, and healthcare. Employers hiring remotely right now include Oscar Management Corporation, NMI, and Canon. Find a role that fits below and apply directly.
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Showing 5 of 15+ Remote Data Operations Analyst jobs
Hi, we're Oscar. We're hiring a Senior Analyst to join our Credentialing Quality & Data Operations Team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
The Senior Analyst, Credentialing Quality & Data Operations supports the accuracy, quality, compliance, and continuous improvement of credentialing and provider operations. Depending on the assignment, this role may focus on credentialing quality audits, operational and performance analytics, or serving as a subject-matter expert for practitioner and facility credentialing. The Senior Analyst turns findings and data into clear recommendations, resolves complex issues, strengthens controls, and partners across teams to improve provider experiences, regulatory readiness, and member outcomes.
You will report into the Senior Manager of Provider Operations Credentialing.
Work Location: This position is fully remote and open to candidates residing in the U.S., excluding Alaska; Delaware; Hawaii; Louisiana; Montana; North Dakota; Oklahoma; West Virginia; Wyoming; and U.S. Territories. Daily work is completed from your home office, with occasional travel required for team meetings and company events. #LI-Remote
Pay Transparency: The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $68,724 - $90,200.25 per year. The base pay for this role in all other locations is: $61,851.60 - $81,180.23 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.
Responsibilities:
- Perform complex operational work across credentialing, provider data, quality assurance, and analytics following applicable requirements, policies, procedures, and service-level expectations.
- Evaluate practitioner and facility credentialing records, workflows, source documentation, and system data for accuracy, completeness, timeliness, consistency, and compliance.
- Plan and complete risk-based or routine quality audits; select samples, document evidence, score results, identify error patterns, and communicate clear, supportable findings.
- Analyze complex datasets using spreadsheets, reporting tools, database queries, or other analytical methods to measure quality, productivity, timeliness, inventory, and operational performance.
- Build, maintain, and validate reports, dashboards, metrics, and monitoring controls; investigate data anomalies and reconcile information across sources of truth.
- Perform root-cause analysis and translate audit results, data trends, and operational insights into corrective and preventive actions, process improvements, and measurable recommendations.
- Be a credentialing resource on practitioner and facility requirements, including initial credentialing, recredentialing, verification, file review, committee preparation, delegated activities, and related provider data dependencies.
- Support remediation of complex quality, data, or credentialing issues; track action plans through closure and validate that corrective actions are effective and sustained.
- Coach team members and share subject-matter guidance.
- Manage assigned projects, analyses, audits, escalations, and caseloads independently while meeting quality, documentation, and timeliness expectations.
- Other duties as assigned.
Requirements:
- 3+ years of relevant experience in healthcare operations, credentialing, quality assurance or audit, provider data, data analysis, or a related field.
- 1+ years of identifing risks or data issues, perform root-cause analysis, and driving work to resolution.
- Intermediate proficiency with Excel or Google Sheets, including data validation, reconciliation, analysis, and clear presentation of findings.
- Experience conducting healthcare credentialing quality audits, documentation, and corrective-action follow-up
- Experience analyzing operational datasets and building reports or dashboards; extensive credentialing knowledge is not required, though the ability to learn credentialing concepts and data is essential.
- Knowledge of practitioner and facility credentialing (including primary-source verification and regulatory requirements),
Bonus points:
- Experience in a health plan, delegated credentialing entity, credentialing verification organization, provider organization, or other regulated healthcare environment.
- Proficiency with SQL, BigQuery, or a similar query language and experience working with large datasets, data models, visualization tools, or business-intelligence platforms.
- Experience using credentialing, provider data, workflow, ticketing, or audit-management systems.
- Knowledge of NCQA, CMS, state, federal, and delegated-oversight requirements relevant to credentialing operations.
- Relevant professional certification or formal training in credentialing, healthcare quality, auditing, compliance, or data analytics.
This is an authentic Oscar Health job opportunity.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.
Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.
Hi, we're Oscar. We're hiring a Senior Analyst to join our Credentialing Quality & Data Operations Team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
The Senior Analyst, Credentialing Quality & Data Operations supports the accuracy, quality, compliance, and continuous improvement of credentialing and provider operations. Depending on the assignment, this role may focus on credentialing quality audits, operational and performance analytics, or serving as a subject-matter expert for practitioner and facility credentialing. The Senior Analyst turns findings and data into clear recommendations, resolves complex issues, strengthens controls, and partners across teams to improve provider experiences, regulatory readiness, and member outcomes.
You will report into the Senior Manager of Provider Operations Credentialing.
Work Location: This position is fully remote and open to candidates residing in the U.S., excluding Alaska; Delaware; Hawaii; Louisiana; Montana; North Dakota; Oklahoma; West Virginia; Wyoming; and U.S. Territories. Daily work is completed from your home office, with occasional travel required for team meetings and company events. #LI-Remote
Pay Transparency: The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $68,724 - $90,200.25 per year. The base pay for this role in all other locations is: $61,851.60 - $81,180.23 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.
Responsibilities:
- Perform complex operational work across credentialing, provider data, quality assurance, and analytics following applicable requirements, policies, procedures, and service-level expectations.
- Evaluate practitioner and facility credentialing records, workflows, source documentation, and system data for accuracy, completeness, timeliness, consistency, and compliance.
- Plan and complete risk-based or routine quality audits; select samples, document evidence, score results, identify error patterns, and communicate clear, supportable findings.
- Analyze complex datasets using spreadsheets, reporting tools, database queries, or other analytical methods to measure quality, productivity, timeliness, inventory, and operational performance.
- Build, maintain, and validate reports, dashboards, metrics, and monitoring controls; investigate data anomalies and reconcile information across sources of truth.
- Perform root-cause analysis and translate audit results, data trends, and operational insights into corrective and preventive actions, process improvements, and measurable recommendations.
- Be a credentialing resource on practitioner and facility requirements, including initial credentialing, recredentialing, verification, file review, committee preparation, delegated activities, and related provider data dependencies.
- Support remediation of complex quality, data, or credentialing issues; track action plans through closure and validate that corrective actions are effective and sustained.
- Coach team members and share subject-matter guidance.
- Manage assigned projects, analyses, audits, escalations, and caseloads independently while meeting quality, documentation, and timeliness expectations.
- Other duties as assigned.
Requirements:
- 3+ years of relevant experience in healthcare operations, credentialing, quality assurance or audit, provider data, data analysis, or a related field.
- 1+ years of identifing risks or data issues, perform root-cause analysis, and driving work to resolution.
- Intermediate proficiency with Excel or Google Sheets, including data validation, reconciliation, analysis, and clear presentation of findings.
- Experience conducting healthcare credentialing quality audits, documentation, and corrective-action follow-up
- Experience analyzing operational datasets and building reports or dashboards; extensive credentialing knowledge is not required, though the ability to learn credentialing concepts and data is essential.
- Knowledge of practitioner and facility credentialing (including primary-source verification and regulatory requirements),
Bonus points:
- Experience in a health plan, delegated credentialing entity, credentialing verification organization, provider organization, or other regulated healthcare environment.
- Proficiency with SQL, BigQuery, or a similar query language and experience working with large datasets, data models, visualization tools, or business-intelligence platforms.
- Experience using credentialing, provider data, workflow, ticketing, or audit-management systems.
- Knowledge of NCQA, CMS, state, federal, and delegated-oversight requirements relevant to credentialing operations.
- Relevant professional certification or formal training in credentialing, healthcare quality, auditing, compliance, or data analytics.
This is an authentic Oscar Health job opportunity.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.
Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.
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Find JobsRemote Data Operations Analyst Job Market
Who's Hiring
Top Industries Hiring
- Insurance
What Employers Look For
The qualifications that appear most often in remote data operations analyst jobs.
- Proficiency in SQL for querying, transforming, and validating large datasets
- Experience with ETL or ELT pipelines using tools such as dbt, Airflow, or Talend
- Familiarity with cloud data platforms including Snowflake, BigQuery, or Redshift
- Bachelor's degree in a quantitative field such as computer science, statistics, or information systems
- Ability to document data lineage, data dictionaries, and operational runbooks
- Experience working with data quality frameworks and resolving upstream data integrity issues
Tips for Your Remote Data Operations Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data operations analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through unrelated listings.
Show async communication in your application
Remote data operations teams run on written handoffs, Slack threads, and documented processes. Your cover letter and any take-home assessments should reflect that style: clear, concise, and structured without needing a follow-up call to clarify.
Build a visible data operations portfolio
Remote hiring managers can't watch you work, so your GitHub, Notion workspace, or shared project samples do that job. Include SQL queries, data quality checks, or pipeline documentation that shows how you catch and resolve data issues independently.
Prepare for asynchronous remote interviews
Many remote-first companies use recorded video screenings or written technical assessments before live interviews. Practice explaining your data operations process in writing and on camera, focusing on how you prioritize tasks and flag data issues without real-time guidance.
Remote Data Operations Analyst Jobs: Frequently Asked Questions
How do I get a remote data operations analyst job?
Target remote-first companies and distributed teams that run data pipelines across time zones, since they hire data operations analysts most consistently. Remote employers screen for self-direction, clear written communication, and hands-on skills in SQL, data quality tooling, and pipeline monitoring. Candidates who can document their work clearly and troubleshoot independently without daily check-ins have a real edge over equally skilled applicants who rely on in-person collaboration.
Which companies hire remote data operations analysts?
Employers currently hiring remote data operations analysts include Oscar Management Corporation, NMI, and Canon, per current remote listings on Migrate Mate as of September 2026. Remote-first software companies, fintech platforms, and healthcare data firms are among the most active hirers, typically looking for analysts who can manage data pipelines and quality checks across distributed teams.
Can you get a remote data operations analyst job with no experience?
Yes, but remote entry-level roles are harder to land because you need to demonstrate you can work independently from day one without in-person onboarding or oversight. Smaller remote-first startups and contract-to-hire roles tend to be more open to candidates without direct experience. Showing a portfolio of data cleaning projects, familiarity with SQL and spreadsheet tooling, and clear written communication skills can open doors where a resume alone won't.
Do you need a degree for remote data operations analyst jobs?
Not always. Many remote employers weigh demonstrated SQL proficiency, experience with data quality processes, and the ability to document and communicate findings clearly over a specific degree. A portfolio showing real data work, certifications in data analytics or database tools, and evidence of consistent remote output can carry as much weight as a bachelor's degree for a significant portion of remote openings.
Which industries hire the most remote data operations analysts?
Most remote data operations analyst openings sit in Insurance, per current remote listings on Migrate Mate as of September 2026. These sectors rely on distributed teams managing large, continuous data flows, making remote data operations analysts a practical fit for their operating models.
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