1

Predictive Analytics Internship Jobs in California

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

Posted today

Showing results 21-40

Predictive Analytics Internship information

What is a predictive analytics internship?

A Predictive Analytics Internship is a temporary position, usually for students or recent graduates, that provides hands-on experience in analyzing data to forecast trends and outcomes. Interns work with datasets, statistical models, and machine learning tools to help organizations make data-driven decisions. The internship typically involves tasks like data cleaning, building predictive models, and interpreting results under the guidance of experienced analysts or data scientists. This role helps interns develop practical skills in analytics, programming, and business intelligence.

What types of projects can I expect to work on during a predictive analytics internship?

As a Predictive Analytics Intern, you can expect to work on projects that involve collecting, cleaning, and analyzing large datasets to identify trends and make forecasts. Typical responsibilities may include building statistical models, developing machine learning algorithms, and presenting actionable insights to business stakeholders. You will likely collaborate with data scientists, engineers, and business analysts, gaining hands-on experience with real-world data challenges in a supportive team environment. These projects not only help build technical skills but also provide exposure to how data-driven decisions are made in the organization.

What are the key skills and qualifications needed to thrive as a predictive analytics intern, and why are they important?

To thrive as a Predictive Analytics Intern, you need strong quantitative skills, knowledge of statistics, and experience with data analysis, often supported by coursework in mathematics, computer science, or related fields. Familiarity with tools such as Python, R, SQL, and machine learning libraries, as well as experience using data visualization platforms like Tableau, is typically expected. Analytical thinking, attention to detail, and effective communication skills help interns present complex findings clearly and collaborate with team members. These abilities are critical for transforming data into actionable insights that drive decision-making in real business contexts.

What is the difference between Predictive Analytics Internship vs Data Analyst Internship?

AspectPredictive Analytics InternshipData Analyst Internship
Required SkillsStatistical modeling, programming (Python, R), data visualizationData cleaning, SQL, Excel, basic statistics
Work EnvironmentAnalytics teams, data science departmentsBusiness units, reporting teams
Industry UsageTech, finance, marketingRetail, healthcare, finance

Predictive Analytics Internships focus on building models to forecast future trends using statistical and machine learning techniques. Data Analyst Internships emphasize data cleaning, analysis, and reporting to support business decisions. Both roles require analytical skills, but predictive analytics internships often demand more advanced statistical knowledge and programming experience.

What are the most commonly searched types of Predictive Analytics jobs in California?

The most popular types of Predictive Analytics jobs in California are:

What are popular job titles related to Predictive Analytics Internship jobs in California?

For Predictive Analytics Internship jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Predictive Analytics Internship jobs?

Cities in California with the most Predictive Analytics Internship job openings:

Infographic showing various Predictive Analytics Internship job openings in California as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.

Quality Improvement Analytics Data Analyst III

L.A. Care Health Plan

Los Angeles, CA • On-site

$115K - $142K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 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

94th of 315 rated insurance


Job description

Salary Range: $88,854.00 (Min.) - $115,509.00 (Mid.) - $142,166.00 (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 Quality Improvement Analytics Data Analyst III serves as a Subject Matter Expert (SME) contributor responsible for leading complex analytic projects that link insights directly to enterprise goals, resource allocation, and performance improvement. This position leads the full analytic development process from business case definition and structured scoping through peer review, deployment, and post-implementation evaluation, ensuring high-quality, reproducible, and impactful outputs.
The Analyst III applies advanced analytic reasoning and strong business acumen to deliver analyses that inform both operational and financial decision making. Acts as a Subject Matter Expert (SME), serves as a resource and mentor for other staff.
Duties
Leads end-to-end analytic development, from structured business case definition and requirements gathering to delivery of validated, actionable insights.
Conducts advanced analyses evaluating drivers of quality, operational efficiency, and financial performance.
Coordinates with IT and product owners to ensure analytic outputs are integrated into enterprise systems and recurring workflows.
Develops, optimizes, and automates analytic assets (data models, dashboards, reports) following enterprise design and refresh standards.
Implements and maintains version control, peer review (pull request), and continuous integration practices for analytic codebases.
Maintains awareness of data lineage and governance compliance throughout all analytic work.
Manages project planning, tracking, and post-implementation assessment for assigned deliverables.
Mentors and models adherence to analytic development best practices.
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.
Perform 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 4 years of experience in analytics, with substantial exposure to healthcare operations, managed care, or population health.
Experience leading end-to-end analytic projects, including requirements gathering, data validation, analysis, and delivery of insights.
Experience analyzing Healthcare Effectiveness Data and Information Set (HEDIS), Stars, and other quality measurement programs across both medical and pharmacy domains.
Experience analyzing and translating data into actionable insights to inform interventions, compliance, and performance improvement strategies.
Preferred:
Experience with advanced analytics techniques, including multivariate analysis, regression, control charts, or predictive modeling.
Experience in domain specific operations, such as network strategy, risk adjustment, or medical cost driver analysis.
Experience mentoring junior analysts or providing guidance on analytic best practices.
Experience supporting quality reporting requirements and initiatives for regulatory or accreditation programs (e.g., CMS, DHCS).
Experience supporting provider focused incentive program analytics.
Skills
Required:
Expert in SQL for complex exploratory analysis, data modeling, and Extract, Transform, and Load (ETL) processes supporting enterprise dashboards, reports, and analytic deliverables. Advanced proficiency in Tableau (or equivalent BI tools) to design, optimize, and automate dashboards and visualizations for enterprise level insights. Strong statistical and analytical skills, including multivariate analyses, regression, and control charts to identify drivers of operational, clinical, and financial performance. Knowledge of version control (Git, GitHub) and collaborative development workflows, including peer review, continuous integration, and reproducible analytic practices. Ability to develop and maintain reusable analytic frameworks, templates, and processes that support recurring reporting and performance monitoring. Proficiency in data validation, reconciliation, and adherence to governance standards, including data lineage tracking and quality control. Ability to translate complex business problems into structured analytic requirements and actionable insights. Ability to interpret analytic results in the context of organizational performance, operational priorities, and enterprise goals. Ability to apply critical thinking to identify patterns, opportunities, and risks across multiple data domains. Ability to collaborate effectively with IT, operational teams, and business partners to operationalize analytic outputs. Demonstrated knowledge of healthcare concepts, such as quality measures, utilization patterns, and key operational drivers in a managed care environment. Ability to lead analytic projects end-to-end, including business case definition, requirements gathering, analysis, and post-implementation assessment. Ability to mentor junior analysts and promote adherence to analytic best practices. Ability to manage multiple projects simultaneously, prioritize tasks, and escalate issues appropriately. Ability to communicate findings effectively to both technical and non-technical stakeholders. Knowledge of quality measurement frameworks, regulatory requirements, and reporting standards. Ability to evaluate performance metrics, trends, and gaps to support quality improvement initiatives.
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
Microsoft Certified: Power BI Data Analyst Associate
Snowflake SnowPro Core Certification
SnowPro® Specialty: Snowpark Certification
SQL Certification (e.g., DataCamp SQL Associate Certificate, Codecademy SQL Professional Certification, W3Schools SQL Certification)
Certified Health Data Analyst (CHDA)
Managed Care Professional (MCP) or relevant certification.
Certified Professional in Healthcare Quality (CPHQ)
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)

What L.A. Care Health Plan employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom