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Remote Health Data Analyst Jobs in Goleta, CA (NOW HIRING)

Senior Global Benefits Analyst

Goleta, CA ยท On-site +1

$77K - $102K/yr

Also open to candidates within California (Remote). The Role The Senior Global Benefits ... Administer healthcare, HCSA, and retirement programs including enrollments, eligibility changes ...

Corporate Insurance Analyst

Goleta, CA ยท On-site +1

$80K - $90K/yr

California Hybrid (Remote + Occasional On-Site) The Role Deckers' Risk Management team protects our ... Maintain and analyze risk-related data including schedules of values (SOVs), COPE data, and ...

Treasury Analyst - AI Trainer

Ventura, CA ยท Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Corporate Insurance Analyst

Goleta, CA ยท On-site +1

$80K - $90K/yr

California Hybrid (Remote + Occasional On-Site) The Role Deckers' Risk Management team protects our ... Maintain and analyze risk-related data including schedules of values (SOVs), COPE data, and ...

Management Analyst (Housing)

Goleta, CA ยท On-site +1

$103K - $132K/yr

City Hall, 130 Cremona Drive, Goleta, CA Job Type: Full time, exempt Remote Employment: Flexible ... Collects and compiles data in office and field; analyzes data and makes recommendations on the ...

Customer Insights Partner

Ventura, CA ยท On-site +1

$105K - $110K/yr

Data driven - Uses data, analytics, and evidence-not assumptions-to identify trends, assess product ... remote work on other days. Occasional additional office visits may be required for team events or ...

About SHP Strategic Healthcare Programs (SHP) is a leader in analytics and performance management ... They will be responsible for defining future-state processes, conducting data analysis, applying AI ...

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Remote Health Data Analyst information

See Goleta, CA salary details

$36.7K

$89.2K

$146.7K

How much do remote health data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote health data analyst in Goleta, CA is $89,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,400.00 and $104,700.00 per year, depending on experience, location, and employer.

What is a remote health data analyst?

A Remote Health Data Analyst is a professional who works primarily from a remote location to collect, process, and analyze healthcare data. They use statistical tools and software to interpret data from medical records, insurance claims, patient surveys, and other health information sources. Their insights help healthcare organizations improve patient care, optimize operations, and ensure regulatory compliance. Remote Health Data Analysts often collaborate with medical staff, IT teams, and administrators using digital communication tools. This role requires strong analytical skills, attention to detail, and proficiency in data management systems.

What does a remote health data analyst do?

The job duties of a remote health data analyst include performing analysis on datasets related to the healthcare industry. In this career, you may work from home to gather relevant data from different sources, such as medical records, operational logs, and billing databases. The responsibilities of a health data analyst include using data to define healthcare trends, seek out areas for cost reduction, and analyze the cost and effectiveness of treatments. As a telecommute worker, you send reports to healthcare management personnel electronically, and you may have to communicate with them to answer questions after report submission.

What are the key skills and qualifications needed to thrive as a remote health data analyst?

To thrive as a Remote Health Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and at least a bachelor's degree in health informatics, statistics, or a related field. Proficiency with data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems and data visualization platforms like Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating remotely with teams. These skills ensure accurate data insights, enable informed decision-making, and support the delivery of efficient healthcare services from a remote environment.

How does a remote health data analyst typically collaborate with healthcare teams while working offsite?

Remote Health Data Analysts frequently collaborate with clinicians, IT professionals, and data scientists through digital communication tools such as video conferencing, secure messaging, and shared data platforms. Regular virtual meetings are common to discuss project progress, clarify data requirements, and ensure alignment on healthcare outcomes. While working remotely offers flexibility, it also requires proactive communication and strong organizational skills to manage multiple projects and maintain data security standards. Building trust and maintaining clear documentation are essential for effective remote teamwork in this role.

What job categories do people searching Remote Health Data Analyst jobs in Goleta, CA look for?

The top searched job categories for Remote Health Data Analyst jobs in Goleta, CA are:

What cities near Goleta, CA are hiring for Remote Health Data Analyst jobs?

Cities near Goleta, CA with the most Remote Health Data Analyst job openings:

Infographic showing various Remote Health Data Analyst job openings in Goleta, CA as of August 2026, with employment types broken down into 73% Full Time, 9% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $89,166 per year, or $42.9 per hour.

Sr. Healthcare Provider Contracting Analyst

CenCal Health

Santa Barbara, CA โ€ข On-site, Remote

$120K - $181K/yr

Full-time

Re-posted 7 days ago


Job description

Central Coast Salary Range: $120,970 - $181,455
While candidates from anywhere in California are welcome to apply, there is a strong preference for those who reside on the Central Coast (Ventura, Santa Barbara, San Luis Obispo, Monterey and Santa Cruz Counties). This role may offer opportunities for remote work; however, familiarity with and proximity to our local customers is valued.
Job Summary
The Sr. Healthcare Provider Contracting Analyst independently performs complex financial modeling, reimbursement rate development, and provider contract change analysis for Medicaid Managed Care & Medicare Advantage D-SNP Plan. This role utilizes advanced SQL, claims data analysis and financial modeling techniques to assess the financial impact of provider contracts including fee for service, capitation, and value based arrangements, while ensuring alignment with state regulatory requirements, quality initiatives, and organizational affordability objectives.
Serving as a subject matter expert in provider reimbursement and value based payment analytics, this position supports data driven contracting, negotiation, and provider performance strategies through close collaboration with Provider Contracting, Provider Relations, Quality, and IT/Data Analytics departments.
Key areas of responsibility include, but are not limited to:
  1. Provider Contract Financial Analysis
  2. Rate Development Modeling
  3. Advanced SQL & Data Analysis
  4. Cross-Functional Partnership & Strategic Support
  5. Data Governance, Accuracy & Regulatory Compliance
  6. Leadership, Mentorship & Operational Support
  7. Other duties as assigned

Duties and Responsibilities
1. Provider Contract Financial Analysis
  • Perform detailed financial impact analysis for:
    • New provider contracts
    • Contract renewals, amendments, and rate adjustments
    • Benefit changes, carve ins/outs, and escalators
    • Value based contracting arrangements, including shared savings, shared risk, quality incentives, and performance based payments
  • Analyze utilization, unit cost, PMPM, and total cost of care impacts using historical claims and encounter data.
  • Support facility, professional, and ancillary provider reimbursement structures across the Medicaid and Medicare lines of business, including capitation, fee-for-service (FFS) and value based payment models or hybrid models.

2. Rate Development & Modeling
  • Develop provider reimbursement models including:
    • Fee for service (CPT/HCPCS, DRG, APC)
    • Case rates, per diems, and bundled payments
    • Capitation, value based payments, and alternative payment models (APMs)
  • Build scenario based financial models-covering upside and downside risk-to support contracting negotiations and leadership decisions.
  • Develop financial methodologies to support value based contract components such as incentive pools, withholds, risk corridors, benchmarks, and performance thresholds.
  • Ensure contract financial assumptions align with:
    • Medicaid state contract and value based purchasing requirements
    • CMS Medicaid Managed Care Guidance
    • Network adequacy, access, quality, and affordability standards

3. Advanced SQL & Data Analysis
  • Use advanced SQL to:
    • Extract, transform, and analyze large Medicaid claims datasets
    • Develop custom datasets for contract modeling, reimbursement analysis, and value based performance measurement
    • Validate utilization, unit cost, trend, and attribution assumptions used in financial and VBC models
  • Analyze provider performance against cost, utilization, and quality metrics tied to value based arrangements, including calculation of earned incentives, shared savings, or losses.
  • Create reproducible, well documented SQL queries to support ongoing contract evaluations and value based reconciliations.
  • Partner with data analytics teams to ensure data integrity, consistency, and appropriate methodology for both reimbursement and VBC reporting.

4. Cross Functional Partnership & Strategic Support
  • Partner closely with Provider Contracting to support negotiations with data backed financial insights across fee for service and value based agreements.
  • Collaborate with Provider Network, Quality and Clinical teams to align financial models, benchmarks, and performance targets for value based contracts.
  • Translate complex analytical findings into clear, actionable messages for non finance stakeholders, including summaries of value based performance, risks, and opportunities.

5. Data Governance, Accuracy & Regulatory Compliance
  • Document assumptions, methodologies, benchmarks, and reconciliation logic supporting provider contract financial reviews and value based arrangements.
  • Ensure analyses comply with:
    • CMS & State Regulations
    • State specific reimbursement and value based purchasing requirements
    • Internal financial controls and audit standards
  • Support internal and external audits, contract reconciliations, and regulatory reporting related to provider reimbursement and value based payments.

6. Leadership, Mentorship & Operational Support
  • Serve as a subject matter expert in provider contract financial analysis, reimbursement modeling, and value based payment evaluation.
  • Review and validate analyses produced by junior analysts, including value based performance calculations.
  • Contribute to standardization, automation, and process improvement initiatives for contract modeling, VBC analytics, and performance reporting.

7. Other duties as assigned
Knowledge/Skills/Abilities
  • Strong analytical and quantitative problem solving skills
  • Advanced SQL querying and data analysis skills, including the ability to extract, manipulate, validate, and analyze large healthcare datasets.
  • Strong proficiency in Microsoft Excel, including pivot tables, advanced formulas, and modeling techniques.
  • Financial evaluation of value based care and alternative payment models
  • Clear written and verbal communication skills with the ability to present complex financial information to technical and non-technical audiences
  • Sound financial judgment, risk assessment, and attention to detail
  • Skilled in Collaboration and relationship management across cross-functional departments including finance, contracting, quality, and clinical teams
  • Knowledge of healthcare finance, provider reimbursement methodologies, and managed care operations, including Medicaid and Medicare Advantage/D-SNP programs.
  • Knowledge of provider contracting structures, including fee-for-service, capitation, shared savings, and value-based payment arrangements.
  • Knowledge of healthcare claims processing, encounter data, and financial reporting principles.
  • Advanced analytical and financial modeling skills, with the ability to interpret complex datasets and identify financial trends and impacts.
  • Ability to independently perform complex financial analysis with a high degree of accuracy and attention to detail.
  • Ability to translate large volumes of financial data into actionable business insights and strategic recommendations.
  • Ability to maintain confidentiality and exercise sound financial judgement in handling sensitive financial and provider information.
  • Ability to work effectively in a fast-paced, collaborative environment while meeting deadlines.
  • Strong understanding of healthcare claims data, reimbursement methodologies, value based payment models, and unit cost analysis.
  • Advanced Excel skills (financial modeling, complex formulas, scenario analysis).
  • Ability to independently manage multiple complex contract analyses in a deadline driven environment.

Education and Experience
  • Bachelor's degree in Finance, Accounting, Economics, Healthcare Administration, or related field.
  • Minimum of five (5) years of progressively responsible healthcare financial analysis experience, preferably within healthcare, managed care, provider contracting, or health plan operations.
  • Minimum of three (3) years of experience performing healthcare reimbursement analysis, provider payment modeling, or contract financial analysis.
  • Experience supporting a Medicaid Managed Care Plan or Medicaid line of business.
  • Advanced experience using SQL, including: complex joins, subqueries, aggregations, and performance conscious query design.