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Internship R Statistics Jobs in Long Beach, CA (NOW HIRING)

Bachelor's degree in an engineering discipline * 1+ years of professional or internship experience ... R for analysis on modeling dynamic systems * Proficiency with statistics, data analysis, cost ...

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Internship R Statistics information

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How much do internship r statistics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship r statistics in Long Beach, CA is $18.20, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an R Statistics intern?

To thrive as an R Statistics Intern, a solid understanding of statistical concepts, data analysis, and proficiency in R programming—often supported by coursework in statistics or data science—is essential. Familiarity with data visualization tools, R packages like dplyr and ggplot2, and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with team members. These skills ensure accurate data-driven insights and smooth integration into research or analytics projects.

What is the difference between Internship R Statistics vs Data Analyst?

AspectInternship R StatisticsData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, data science, or related fieldBachelor's degree in statistics, data analysis, or related field; sometimes requires experience
Work EnvironmentInternship setting, often part-time or temporary, in tech, finance, or healthcare industriesFull-time role in various industries like finance, marketing, healthcare, or tech
Employer & Industry UsageUsed by companies for training and entry-level data tasks, often in tech and research sectorsEmployed by organizations to analyze data, generate reports, and support decision-making

Internship R Statistics is an entry-level, temporary position focused on learning and assisting with statistical analysis using R. In contrast, a Data Analyst is a full-time professional role responsible for analyzing data, creating reports, and supporting business decisions. While internships are designed for skill development, data analyst roles require more experience and responsibility.

What types of projects or tasks can I expect to work on during an R Statistics internship?

As an R Statistics intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing large datasets, creating statistical models, and generating visualizations using R. You may collaborate closely with data scientists and other team members to support ongoing research, prepare reports, or assist in automating data workflows. Interns often have the opportunity to present their findings to the team and contribute to real-world decision-making processes, making this role a valuable learning experience for future careers in data analysis or statistics.

Which internship is best for statistics students?

The best internship for statistics students typically involves roles in data analysis, research, or analytics that utilize tools like R, Python, or SQL. Look for internships in industries such as finance, healthcare, or technology that offer hands-on experience with statistical modeling and data visualization. These opportunities often require strong analytical skills and may lead to full-time positions in data science or analytics.

What is an internship R Statistics position?

Internship R Statistics positions are internships that focus on using the R programming language for statistical analysis and data processing. These roles are typically aimed at students or recent graduates who want hands-on experience working with data, performing statistical modeling, and visualizing results using R. Interns may work in various industries, such as healthcare, finance, or technology, and often assist with tasks like data cleaning, exploratory data analysis, and report generation. These internships help participants develop practical skills in R, deepen their understanding of statistics, and prepare them for careers in data science or analytics.
What are popular job titles related to Internship R Statistics jobs in Long Beach, CA? For Internship R Statistics jobs in Long Beach, CA, the most frequently searched job titles are:
What job categories do people searching Internship R Statistics jobs in Long Beach, CA look for? The top searched job categories for Internship R Statistics jobs in Long Beach, CA are:
What cities near Long Beach, CA are hiring for Internship R Statistics jobs? Cities near Long Beach, CA with the most Internship R Statistics job openings:
Infographic showing various Internship R Statistics job openings in Long Beach, CA as of August 2026, with employment types broken down into 54% Internship, and 46% Full Time. Highlights an 100% In-person job distribution, with an average salary of $37,848 per year, or $18.2 per hour.

Authorizations and Claims Analytics Solutions and Data Analyst III

L.A. Care Health Plan

Los Angeles, CA • On-site

$132K - $163K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago


L.A. Care Health Plan rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

88th of 303 rated insurance


Job description

Salary Range: $102,183.00 (Min.) - $132,838.00 (Mid.) - $163,492.00 (Max.)
Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation's largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time.
Mission: L.A. Care's mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose.
Job Summary
The Authorizations and Claims Analytics Solutions and Data Analyst III serves as a Subject Matter expert (SME), technical and analytic integrator, responsible for designing, developing, and operationalizing advanced analytic solutions that drive strategic insight and organizational performance. This position combines strong data engineering fluency with analytical acumen transforming complex, multi-domain data (membership, encounters, providers, claims, quality metrics) into interpretable and actionable insights used by leaders across the health plan.
This position emphasizes the development of insight rich, production ready analytic assets, delivering repeatable, governed analyses that illuminate key drivers of care quality, efficiency, and financial outcomes.
Acts as a Subject Matter Expert (SME), serves as a resource and mentor for other staff.
Duties
Designs and maintains reusable analytic data models and Extract, Transform, and Load (ETL) pipelines that support recurring insight generation and performance monitoring.
Leads development of advanced dashboards, reports, and analytic tools that surface trends, correlations, and performances opportunities across enterprise domains.
Partners with analysts, data scientists, and operational stakeholders to embed insights directly into workflows and decision processes.
Implements and maintains version control, peer review (pull request), and continuous integration practices for analytic codebases.
Ensures adherence to data lineage, governance, and reproducibility standards across all analytic products.
Supports enterprise level measure refresh cycles and ensures alignment with standardized data abstraction layers.
Drives continuous enhancement of the analytic ecosystem by integrating new data sources, improving data structures, and optimizing performance.
Translates analytic findings into business relevant narratives and partners with stakeholders to act on insights.
Applies subject matter expertise in evaluating business operations and processes. Identifies areas where technical solutions would improve business performance. Consults across business operations, providing mentorship, and contributing specialized knowledge. Ensures that the facts and details are correct so that the program's deliverable meets the needs of the department, organization and legislation's policies, standards, and best practices. Provides training, recommends process improvements, and mentors junior level staff, department interns, etc. as needed.
Performs other duties as assigned.
Duties Continued
Education Required
Bachelor's Degree
In lieu of degree, equivalent education and/or experience may be considered.
Education Preferred
Master's Degree
Experience
Required:
At least 5 years of progressive analytics experience in healthcare, managed care, or related industries.
Proven experience designing, developing, and operationalizing analytic solutions across multiple domains.
Experience translating multi-domain analytics into actionable insights for leadership and enterprise-wide initiatives.
Demonstrated successful experience in communicating insights effectively to senior leadership and executives.
Experience with Utilization Management (UM) authorization workflows and prior authorization metrics.
Preferred:
Experience with enterprise level initiatives, such as Key Performance Indicator (KPI) maintenance, cross-domain dashboards, measure ROI, or strategic investment analytics.
Strong experience managing care operations, including capitation, provider networks, risk adjustment, or quality incentive programs.
Skills
Required:
Expertise in designing, building, and maintaining complex ETL pipelines and analytic data models that support enterprise reporting, dashboards, and predictive insights. Advanced experience with BI tools (Tableau, Power BI) to design insight rich, production ready dashboards and analytic products. Proficiency with SQL and/or Python/R for large-scale data manipulation, advanced analyses, and operationalization of analytic workflows. Strong knowledge of version control (Git/GitHub) and CI/CD processes for analytic code and pipelines. Ability to integrate, optimize, and enhance multiple data sources for performance, governance, and reproducibility.
Ability to apply advanced statistical, predictive, and diagnostic methods to uncover drivers of quality, efficiency, and financial outcomes. Deep understanding of managed care operations, such as capitation models, provider networks, utilization management, and quality incentive programs. Ability to translate multi-domain data into actionable insights that directly inform strategic and operational decisions. Ability to conduct root-cause analyses, scenario modeling, and complex problem solving with minimal guidance.
Ability to operate with high autonomy, independently defining priorities and managing complex, ambiguous analytic projects. Ability to communicate complex analytic findings effectively to senior leadership, executives, and external stakeholders. Ability to translate insights into actionable recommendations and strategic narratives that influence enterprise decision making. Ability to mentor and guide other analysts, promoting analytic best practices across teams. Ability to drive continuous improvement of analytic tools, data structures, and reporting ecosystems, proactively identifying opportunities to enhance organizational performance.
Ability to influence operational or strategic decisions. Knowledge of claims operations, including receiving, adjudication, and provider dispute resolution. Knowledge of clinical and financial aspects of UM/claims and collaboration with operations or provider teams. Ability to analyze operational KPIs (e.g., turnaround times, denial rates, appeals outcomes) and translate data into actionable insights.
Preferred:
Proficient with Process Improvement Methodology including defining and documenting workflow. Knowledge of program and project level planning, mobilization and management.
Licenses/Certifications Required
Licenses/Certifications Preferred
Tableau Certified Data Analyst or Tableau Desktop Specialist
Snowflake SnowPro Core Certification
SQL Certification (e.g., DataCamp SQL Associate Certificate, Codecademy SQL Professional Certification, W3Schools SQL Certification)
Python Institute PCEP™ or PCAP™ (Python Programming)
SnowPro® Specialty: Snowpark Certification
DataCamp Certified Data Analyst (Python or R)
HarvardX or Johns Hopkins Data Science Certificate (R)
Certified Health Data Analyst (CHDA)
Managed Care Professional (MCP) or relevant certification.
Certified Analytics Professional (CAP)
or related
Microsoft Certified: Data Scientist Associate (DP-100)
Required Training
Physical Requirements
Light
Additional Information
Salary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market. The range is subject to change.
L.A. Care offers a wide range of benefits including
  • Paid Time Off (PTO)
  • Tuition Reimbursement
  • Retirement Plans
  • Medical, Dental and Vision
  • Wellness Program
  • Volunteer Time Off (VTO)

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