2

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

Senior Global Benefits Analyst

Goleta, CA · On-site +1

$77K - $102K/yr

  • Medical

  • Retirement

Also open to candidates within California (Remote). The Role The Senior Global Benefits ... Analyze benefits and utilization data, renewal information, trends, and employee experience ...

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 ...

Management Analyst (Housing)

Goleta, CA · On-site +1

$103K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Corporate Insurance Analyst

Goleta, CA · 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 ...

Corporate Insurance Analyst

Goleta, CA · 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 ...

Customer Insights Partner

Ventura, CA · On-site +1

$105K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

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 ...

next page

Showing results 1-20

Remote Data Analyst information

See Goleta, CA salary details

$36.7K

$89.2K

$146.7K

How much do remote data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote 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 does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Goleta, CA?

The most popular types of Data Analyst jobs in Goleta, CA are:

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

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

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

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

Infographic showing various Remote Data Analyst job openings in Goleta, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% 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 • On-site, Remote

$120K - $181K/yr

Full-time

Re-posted 8 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.