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Entry Level Data Analyst R Programming Jobs in Irvine, CA

Deloitte

Data Product Analyst

Costa Mesa, CA · On-site

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Entry Level Data Analyst R Programming information

See Irvine, CA salary details

$14

$35

$66

How much do entry level data analyst r programming jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for entry level data analyst r programming in Irvine, CA is $35.34, according to ZipRecruiter salary data. Most workers in this role earn between $22.69 and $39.47 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an Entry Level Data Analyst (R Programming)?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry-level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.
What are the most commonly searched types of Data Analyst R Programming jobs in Irvine, CA? The most popular types of Data Analyst R Programming jobs in Irvine, CA are:
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Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Irvine, CA as of May 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $73,514 per year, or $35.3 per hour.
Healthcare Data Analyst

Healthcare Data Analyst

Astiva Health, Inc

Anaheim, CA

Other

Posted 10 days ago

Job description

About Us:

Astiva Health, Inc., located in Orange, CA is a premier healthcare provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.


SUMMARY:

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical, operational, and financial decision-making within Medicare Advantage programs. This role focuses on key areas including risk adjustment, quality measures (HEDIS and Star Ratings), pharmacy adherence, and claims analysis.

The analyst collaborates with clinical, quality, pharmacy, and provider teams to identify trends, monitor program performance, and support CMS regulatory reporting. The role also includes developing automated data workflows and reporting solutions that deliver timely, actionable insights across the organization.


ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:


Data Analysis & Reporting

  • Analyze medical and pharmacy claims, membership, supplement, lab, risk adjustment, and encounter data to support Medicare Advantage quality, risk, and operational programs.
  • Develop and maintain dashboards and reports for HEDIS, Star Ratings, medication adherence, RAF/HCC performance, and EDPS encounter data.
  • Identify trends, care gaps, and performance opportunities to support quality improvement, pharmacy initiatives, and risk adjustment efforts.
  • Provide analytics and reporting to MSOs/IPAs and internal teams, including quality, pharmacy, and risk adjustment.
  • Support regulatory and CMS-related analyses, including encounter data monitoring, claims acceptance, and HCC performance.
  • Deliver consolidated reporting and insights to leadership for strategic decision-making.
  • Examine payments, cost of care, and utilization data to produce metrics for bid submission and JOMs or to address concerns from business partners.
  • Support ad hoc reporting needs across the organization.

Data Quality & Validation

  • Validate and reconcile claims, pharmacy, provider, membership, supplement, and lab data to ensure accuracy and completeness.
  • Investigate and resolve data discrepancies, anomalies, and reporting issues across Medicare Advantage data sources.

Technical & Database Work

  • Write and optimize SQL queries and stored procedures for data extraction, transformation, and analysis.
  • Develop automated ETL workflows and data pipelines to support ongoing reporting needs.
  • Work with large datasets in SQL Server and healthcare analytics platforms.
  • Build dashboards and data visualizations using Power BI or SSRS.
  • Utilize tools such as SQL Server, SSIS, Power BI, SSRS, Python, and Excel.

Collaboration

  • Partner with clinical, pharmacy, quality, enrollment, credentialing, and finance teams to interpret results and support program initiatives.
  • Assist with regulatory and compliance-related reporting requirements.
  • Present findings and insights to both technical and non-technical stakeholders


QUALIFICATIONS


Required Qualifications

  • Bachelor’s degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field.
  • 2–5+ years of healthcare data analytics experience.
  • Knowledge of Medicare Advantage programs, HEDIS, and/or CMS Star Ratings.
  • Advanced SQL skills for querying and analyzing large datasets.
  • Experience with BI tools such as Power BI, SSRS, or similar tools.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

  • Experience working in Medicare Advantage organizations, MSOs, or managed care settings.
  • Knowledge of HCC risk adjustment, RAF methodologies, capitation payment model, DOFR, claim processing, bid design, and CMS regulatory requirements.
  • Experience analyzing pharmacy adherence metrics (e.g., PDC).
  • Familiarity with EDPS encounter data, claims submissions, and acceptance processes.
  • Experience with ETL tools (e.g., SSIS) or programming languages such as Python or .NET.

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