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Data Processing Assistant Jobs in California (NOW HIRING)

Collaborate with cross-functional teams to understand reporting and analytical needs. * Assist with developing and improving data-reporting processes and standards. * Document analytical methods ...

The ideal candidate will have a strong background in data visualization, data processing, and ... Assist in the development and implementation of data strategies and initiatives. Provide training ...

Data Analyst

Riverside, CA ยท On-site

$142K/yr

The ideal candidate will have a strong background in data visualization, data processing, and ... support. * Assist in the development and implementation of data strategies and initiatives.

The ideal candidate will have a strong background in data visualization, data processing, and ... support. * Assist in the development and implementation of data strategies and initiatives.

... ensure all data is up to date. - Address and resolve any payroll discrepancies - Assist in the ... payroll processing. - Assist in year-end payroll activities and audit processes. Skills and ...

Support patient care management through timely data processing and system reporting * Review and ... Perform routine system backups and maintain organized digital records * Assist with additional data ...

The ideal candidate will have a strong background in data visualization, data processing, and ... support. * Assist in the development and implementation of data strategies and initiatives.

Showing results 41-60

Data Processing Assistant information

See California salary details

$12

$20

$34

How much do data processing assistant jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data processing assistant in California is $20.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data processing assistant?

To thrive as a Data Processing Assistant, you need strong data entry skills, attention to detail, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of data processing software is typically required. Excellent organizational abilities, time management, and the capacity to maintain confidentiality set top performers apart. These skills ensure accurate, efficient handling of sensitive information, directly supporting effective business operations.

What are some common challenges faced by data processing assistants, and how can they be addressed?

Data Processing Assistants often encounter challenges such as managing large volumes of data with tight deadlines and ensuring the accuracy of information being entered or processed. To address these issues, it's important to develop strong organizational habits, regularly double-check work for errors, and leverage available software tools to automate repetitive tasks. Collaborating closely with data analysts, supervisors, and IT team members can also help resolve discrepancies quickly and maintain data integrity.

What is the difference between Data Processing Assistant vs Data Entry Clerk?

AspectData Processing AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma; basic computer skills
Work EnvironmentOffice settings, data centers, or remoteOffice environments, primarily in administrative settings
Employer & Industry UsageBusinesses, government agencies, healthcare, financeAdministrative offices, retail, healthcare, government
Common Search & ComparisonOften compared for data handling tasks, technical skillsCompared for basic data input, administrative support

The main difference is that Data Processing Assistants handle more complex data management tasks, often involving data validation and processing, while Data Entry Clerks focus primarily on inputting data accurately. Both roles are essential in data-related workflows but differ in scope and technical requirements.

What does a data processing assistant do?

A data processing assistant is responsible for collecting, organizing, and verifying data to ensure accuracy and completeness. They often use software tools like spreadsheets or database systems and may perform tasks such as data entry, cleaning, and formatting to support data analysis and reporting.

What are the most commonly searched types of Data Processing jobs in California?

The most popular types of Data Processing jobs in California are:

What are popular job titles related to Data Processing Assistant jobs in California?

For Data Processing Assistant jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Processing Assistant jobs in California look for?

The top searched job categories for Data Processing Assistant jobs in California are:

What cities in California are hiring for Data Processing Assistant jobs?

Cities in California with the most Data Processing Assistant job openings:

Infographic showing various Data Processing Assistant job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,601 per year, or $20 per hour.

BUSINESS DATA ANALYST 2

VSolvit

Norco, CA โ€ข On-site

Full-time

Re-posted 11 days ago


Job description

POSITION IS 100% ONSITE DAILY IN NORCO, CA
Job Summary

VSolvit has an immediate opening for a skilled Data Analyst II to support the Data and Analytics team at Naval Surface Warfare Center Corona Division in Norco, California.

The Data Analyst II will be responsible for transforming complex data into actionable insights, creating clear and informative visualizations, and supporting data-driven decision-making across the organization. This position will independently perform data analysis, develop reports and dashboards, clean and validate datasets, and communicate findings to technical and nontechnical stakeholders.

The ideal candidate will have two to five years of experience in data analysis, strong experience with Tableau, Python, and SQL, and the ability to manage recurring analytical and reporting assignments with limited supervision.

As with any position, additional expectations include adhering to normal working hours, meeting deadlines, following company policies, communicating regularly with assigned supervisors, attending required meetings, remaining focused on assigned tasks, and completing other duties as assigned.

Responsibilities
  • Analyze large datasets to identify trends, patterns, anomalies, and actionable insights.

  • Create and maintain interactive reports and visualizations using Tableau.

  • Present analytical findings to stakeholders in a clear and concise manner.

  • Clean, transform, and preprocess data to improve accuracy and reliability.

  • Develop and maintain recurring data-processing and reporting workflows.

  • Perform data-quality checks and resolve identified data issues.

  • Write Python scripts for data manipulation, analysis, reporting, and automation.

  • Use Python libraries such as Pandas, NumPy, and Matplotlib.

  • Write SQL queries to retrieve, combine, and validate data.

  • Work with data engineers to integrate analytical solutions into existing data environments.

  • Collaborate with cross-functional teams to understand reporting and analytical needs.

  • Assist with developing and improving data-reporting processes and standards.

  • Document analytical methods, data sources, calculations, and reporting procedures.

  • Provide training and support to team members on approved data tools and techniques.

  • Support customer presentations, technical reviews, and recurring reporting activities.

Required Qualifications
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related field.

  • 2 to 6 years of experience as a Data Analyst or in a similar analytical role.

  • Proven experience using Tableau for data visualization and dashboard development.

  • Strong experience with data processing, cleaning, and validation.

  • Proficiency in Python for data analysis and scripting.

  • Experience using Pandas, NumPy, Matplotlib, or similar Python libraries.

  • Experience writing SQL queries and working with database-management systems.

  • Knowledge of statistical methods and analytical techniques.

  • Strong analytical and problem-solving skills.

  • Strong attention to detail and data accuracy.

  • Excellent written, verbal, presentation, and stakeholder-communication skills.

  • Ability to work independently and as part of a team.

  • U.S. citizenship.

  • Ability to obtain and maintain a security clearance.

  • Ability to work on-site in Norco, California.

Desired Qualifications
  • Experience with Power BI, Looker, or other data-visualization tools.

  • Experience with AWS, Microsoft Azure, or Google Cloud.

  • Familiarity with data pipelines, ETL processes, or reporting automation.

  • Experience supporting Department of Defense, Navy, or federal government programs.

  • Knowledge of machine-learning concepts and techniques.

  • Experience providing user training or analytical support.


Company Summary