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Associate Data Analyst Jobs in Anaheim, CA (NOW HIRING)

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

Data Analyst Position Description Date Issued: June 2026 Department: Finance Reports to: VP of ... At the end of each day, we are only successful when all associates can return home to their ...

Join Easterseals Southern California as an Experience & Outcomes Analyst and help turn meaningful data into insights that improve experiences for associates, customers, and the people we serve. In ...

Analyst, EHR

Ontario, CA · On-site

$70K/yr

Evaluates EHR data to recommend process improvements. Responds to inquiries related to EHR ... Ability to communicate effectively with all levels of associates, physician's office personnel ...

Assoc Analyst Business

Upland, CA · On-site

$70K - $80K/yr

In this role, you will support business operations by analyzing data, developing reports and ... Associates or Bachelors degree in Business Administration, Finance, Information Systems, Data ...

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Showing results 1-20

Associate Data Analyst information

See Anaheim, CA salary details

$35.6K

$86.5K

$142.4K

How much do associate data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for associate data analyst in Anaheim, CA is $86,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,500.00 per year, depending on experience, location, and employer.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an associate data analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What is the role of an associate data analyst?

An associate data analyst collects, processes, and analyzes data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under supervision to generate reports and identify trends. Strong analytical skills and attention to detail are essential for this entry-level role.

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

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

What job categories do people searching Associate Data Analyst jobs in Anaheim, CA look for?

The top searched job categories for Associate Data Analyst jobs in Anaheim, CA are:

What cities near Anaheim, CA are hiring for Associate Data Analyst jobs?

Cities near Anaheim, CA with the most Associate Data Analyst job openings:

Infographic showing various Associate Data Analyst job openings in Anaheim, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $86,516 per year, or $41.6 per hour.

Associate Data Scientist

Los Angeles, CA


University of Southern California
Colleges, Universities, and Professional Schools • 10K+ employees

8.4

Company rating: 8.4 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

101st of 627 rated colleges and universities

People enjoy working here

Good employer

Recommended by students


$99K - $116K/yr

Full-time

Re-posted 12 days ago


Job description

Associate Data Scientist (Institutional Research)

Please submit a resume and cover letter as part of your application.


> Shape Data-Driven Decision Making at USC
Join the University of Southern California's Office of Institutional Research and help power data-informed strategy at a leading research institution. In this role, you will design, build, and deploy analytics solutions that inform university leadership and institutional priorities.
Work with complex datasets, modern data tools, and cross-functional stakeholders in a collaborative, mission-driven environment.


> Key Responsibilities:
Analyze and interpret medium to large datasets to solve data analytic problems in support of institutional decision making
Build, test, and optimize statistical, predictive, and machine learning models
Develop and deploy data pipelines, workflows, and automated processes
Partner with stakeholders to translate business needs into analytical solutions
Perform data cleansing, validation, and transformation to ensure data integrity
Design and evaluate experiments, including A/B testing methodologies
Create reports, dashboards, and presentations to communicate insights clearly
Monitor project timelines, deliverables, and stakeholder communications
Maintain technical documentation and support continuous process improvement


> Preferred Qualifications:
Master's degree in Data Science, Computer Science, Statistics, or a related field
Experience building and maintaining ETL pipelines and data workflows
Experience with workflow orchestration tools such as Apache Airflow (DAG development)
Experience with machine learning or statistical modeling techniques
Experience with data visualization tools (e.g., Tableau, Power BI, D3.js)
Experience working with large-scale or enterprise datasets
Familiarity with Git, version control, and testing frameworks
Experience designing data architecture or automated data system

> Minimum Qualifications:
Bachelor's degree in Applied Mathematics, Computer Science, Statistics, or a related quantitative field (or equivalent experience)
Minimum 2 years of experience in data science, data analytics, or a related field
Proficiency in Python and SQL for data analysis and data manipulation
Experience working with relational and/or non-relational databases (e.g., MySQL, SQL Server, Snowflake, MongoDB)
Experience performing data cleaning, transformation, and validation
Demonstrated ability to analyze datasets and deliver actionable insights
Strong written and verbal communication skills
________________________________________
In addition, the successful candidate must also demonstrate, through ideas, words and actions, a strong commitment to USC's Unifying Values of integrity, excellence, community, well-being, open communication, and accountability.
________________________________________
Salary and Benefits:
The annual base salary range for this position is $99,823 - $$116,656. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.


To support faculty and staff well-being, USC provides benefits-eligible employees with a broad range of benefits and perks to help protect their and their dependents' health, wealth, and future. These benefits are available as part of the overall compensation and total rewards package. You can learn more about USC's comprehensive benefits here.
________________________________________
Apply Now
If you're excited to solve complex data challenges and contribute to meaningful institutional impact, we encourage you to apply today. Please submit your resume and cover letter to be considered.

#LI-MS1

Job Qualifications
Minimum Education:
-Bachelor's degree
-Combined experience/education as substitute for minimum education
Minimum Experience:
-2 years
Minimum Field of Expertise:
. Experience using statistical computer languages (e.g., R, Python, SQL) to manipulate data and draw insights from
large data sets.
. Experience scripting and programming in several languages with common data science toolkits.
. Proficient use of query languages (e.g., SQL, MDX) and experience working with relational (e.g., MySQL, SQL Server,
Oracle, Snowflake, Redshift) and non-relational (e.g., Mongo, NoSQL) databases.
. Proven problem-solving and decision-making skills, and the ability to uncover root cause and evaluate different
solution options.
. Experience in data science, analytics, IT, cognitive engineering, or related fields.
. Ability to write high-quality Python code.

USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to theBackground Screening Policy Appendix Dfor specific employment screen implications for the position for which you are applying.

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email atuschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.

  • Notice of Non-discrimination
  • Employment Equity
  • Read USC's Clery Act Annual Security Report
  • USC is a smoke-free environment
  • Digital Accessibility

If you are a current USC employee, please apply to this  USC job posting in Workday by copying and pasting this link into your browser:

https://wd5.myworkday.com/usc/d/inst/1$9925/9925$150910.htmld

University of Southern California logo

About University of Southern California

Sourced by ZipRecruiter

The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Los Angeles , CA, US

Year founded

1880


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