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Internship Jr Data Analyst Jobs in California (NOW HIRING)

Help reconcile financial data and identify variances for review by senior staff * Collect, organize, and analyze program data to support decision-making * Develop status reports, metrics, and ...

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Internship Jr Data Analyst information

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$10

$23

$43

How much do internship jr data analyst jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship jr data analyst in California is $23.67, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.91 per hour, depending on experience, location, and employer.

What does an Internship Jr Data Analyst do?

An Internship Jr Data Analyst assists with collecting, cleaning, and analyzing data to help organizations make informed decisions. They typically work under the supervision of senior analysts, learning how to use various data analysis tools and software. Interns may be involved in creating reports, visualizing data, and supporting ongoing projects. This role provides hands-on experience and helps interns develop practical skills in data management and analytics.

What are the key skills and qualifications needed to thrive as an Internship Jr Data Analyst?

To thrive as an Internship Jr Data Analyst, a solid understanding of statistics, data cleaning, and foundational knowledge of data analysis—often gained through coursework in mathematics, computer science, or a related field—is essential. Familiarity with tools like Microsoft Excel, SQL, and introductory programming languages such as Python or R, as well as experience with data visualization software, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These competencies are crucial for producing accurate analyses, supporting business decisions, and contributing positively to team projects in a fast-paced environment.

What are some typical projects or tasks an Internship Jr Data Analyst might work on during their internship?

As an Internship Jr Data Analyst, you can expect to work on a variety of projects such as cleaning and organizing large datasets, building basic reports and dashboards, and assisting with data visualization efforts. You'll often support senior analysts by preparing data for analysis, running queries, and helping to identify trends or patterns. Collaboration with team members from other departments, such as marketing or operations, is common as you provide insights or help answer business questions. This hands-on experience is valuable for developing your technical skills and understanding how data-driven decisions are made within an organization.

What is the difference between Internship Jr Data Analyst vs Data Analyst?

AspectInternship Jr Data AnalystData Analyst
Required CredentialsTypically pursuing or recently completed a related degree; no extensive certifications neededBachelor's degree in data-related field; certifications like SQL, Excel, or data analysis tools are common
Work EnvironmentInternship setting, often in a corporate or tech company, supervised by senior staffFull-time professional role, often in teams handling data projects independently or collaboratively
Employer & Industry UsageUsed by companies for training and entry-level talent development in industries like finance, tech, marketingFull-fledged role in various industries including finance, healthcare, marketing, and technology

The main difference between an Internship Jr Data Analyst and a Data Analyst is the experience level and scope of responsibilities. Internships are designed for learning and gaining initial exposure, while Data Analysts handle more complex data tasks independently. Interns often work under supervision, whereas Data Analysts operate as part of a professional team with greater autonomy.

What cities in California are hiring for Internship Jr Data Analyst jobs?

Cities in California with the most Internship Jr Data Analyst job openings:

Infographic showing various Internship Jr Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $49,224 per year, or $23.7 per hour.

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 10 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

91st of 310 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)

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