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Data Processing Assistant Jobs in Westminster, CA

Staffactory

Fiscal Assistant

Diamond Bar, CA · On-site

FISCAL ASSISTANT # SUBMISSION ALLOWED: 1 LOCATION: Diamond Bar, CA. DURATION: Approximately 6 ... Operates computers, typewriters, calculators, and a variety of automated data processing office ...

Data Ticket Inc.

Be Seen First

Accounting Clerk

Irvine, CA · On-site

$18 - $22/hr

Process NSF's * Process credit card charge backs Process transfer of funds * File invoice all ... Make available financial data for management team and clients upon request. * Assist with special ...

Judit Inc

Accounts Payable Clerk

Santa Ana, CA

$20 - $25.25/hr

... processing. * Perform bookkeeping tasks, including data entry and maintaining records related to ... payment processing. * Assist in month-end closing activities, including, but not limited to ...

Cervélo

Master Data Analyst

Aliso Viejo, CA · On-site

Collaborate cross-functionally with product, sales, finance, operations, and IT teams to ensure alignment, understanding and adherence to data governance processes. * Assist global markets in ...

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All JobsData Processing JobsData Processing Assistant JobsData Processing Assistant Jobs in Westminster, CA

Data Processing Assistant information

See Westminster, CA salary details

$12

$20

$35

How much do data processing assistant jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data processing assistant in Westminster, CA is $20.89, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.03 per hour, depending on experience, location, and employer.

What is the salary of data processing assistant grade a grade?

The salary of a Data Processing Assistant Grade A typically ranges from $30,000 to $45,000 annually, depending on the country, experience, and government or organizational pay scales. Entry-level positions may start at the lower end, with potential for increases based on performance and tenure.

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 cities near Westminster, CA are hiring for Data Processing Assistant jobs? Cities near Westminster, CA with the most Data Processing Assistant job openings:
Data Processing Assistant jobs near you
Infographic showing various Data Processing Assistant job openings in Westminster, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $43,454 per year, or $20.9 per hour.

Data Scientist - Business Analytics & ML

Kia America, Inc.

Irvine, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

At Kia, we’re creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day.

Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California.
Status

Exempt 

General Summary

The Data Scientist plays an important role in executing data analysis for Kia North America’s regional subsidiaries (KUS/KCA/KaGA/KMX). Kia’s Big Data Analysis team leverages vast and diverse datasets to drive business improvements and insights. The role requires expertise in statistics, machine learning, and computer science to utilize high-performance compute clusters and perform reproducible analyses at scale. This position supports the application of data, analytics, automation, and responsible AI to advance Kia’s business operations.


This role focuses on using data and machine learning to answer complex business questions, build analytical and predictive models, and translate results into clear insights and recommendations for stakeholders. The role goes beyond reporting by framing problems, designing analyses, and influencing decisions.

Essential Duties and Responsibilities

1st Priority - 30%

Business Problem Framing, Data Wrangling & Analysis  

  • Assess the accuracy of new data sources
  • Understand business processes and decision frameworks, and translate them into data-driven metrics and KPIs. 
  • Preprocess structured and unstructured data
  • Analyze large amounts of data to discover trends and patterns
  • Build prediction and classification models
  • Coordinate with different functional teams for feature engineering
  • Partner with business stakeholders to frame problems, define success metrics, and translate business questions into analytical approaches

2nd Priority - 30%

Insight Generation, Visualization & Model Improvement

  • Test and continuously improve the accuracy of statistical and machine learning models
  • Present insights in a way that clearly ties analysis to business decisions and actions 
  • Frame and communicate complex analyses in business-relevant terms that non-technical stakeholders can understand and act on
  • Continuously monitor and validate production analysis results

3rd Priority - 20%

Collaborate with IT Team to deploy analysis results

  • Build REST APIs for data and analysis result consumption
  • Assist the IT system developers to deploy analysis as a service

4th Priority - 20%

Clear documentation, source code management, and reproducible analysis

  • Use git within GitLab
  • Create virtual environments to isolate project dependencies and requirements
  • Track model performance and hyperparameter configurations
  • Track data versioning

This list of essential responsibilities and duties is not exhaustive and may be supplemented and changed as necessary by management.
 

Qualifications/Education

Education:

  • Bachelor’s degree in a quantitative field required (e.g., Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, Business Analytics, or related field)
  • Master’s degree in a quantitative field preferred
     
Job Requirement
  • 3+ years of experience in data science preferred.
  • Strong data analysis and statistical foundations required.
  • Proficiency in Python and SQL required.
  • Familiarity with applied machine learning concepts required.
  • Strong business acumen and ability to coordinate between technical teams and non-technical business stakeholders.
  • Experience querying databases and using programming languages such as Python and SQL
  • Experience using statistics and machine learning algorithms
  • Experience with big data processing frameworks such as Spark (e.g., PySpark); experience with Hadoop ecosystem or cloud platforms (e.g., Databricks, AWS) preferred
  • Experience publishing results to stakeholders through dashboards (e.g. Power BI, MicroStrategy, Tableau)
Specialized Skills and Knowledge Required
  • Proficiency in Python and SQL
  • Knowledge of a variety of machine learning techniques, deep learning a plus
  • Knowledge of advanced statistical techniques
  • Experience with common Python libraries for data analysis such as Pandas and NumPy
  • Experience with visualization libraries such as Matplotlib, Seaborn, Plotly, Bokeh and plotnine
  • Experience developing and evaluating statistical and machine learning models using libraries such as statsmodels and scikit-learn
  • Experience with big data processing tools such as Spark (e.g., PySpark); experience with Hadoop ecosystem or cloud platforms preferred
  • Experience with deep learning frameworks such as PyTorch and TensorFlow preferred
  • Strong data-driven problem-solving skills
  • Excellent written and verbal communication skills to coordinate across teams

Competencies

  • Care for People
  • Chase Excellence Every Day
  • Dare to Push Boundaries
  • Empower People to Act
  • Move Further Together

Pay Range

$89,936 - $121,409

Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc.

Equal Employment Opportunities

KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law.  KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices.  The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment.

Disclaimer:  The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position.  It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

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About Kia America

Sourced by ZipRecruiter

Industry

Motor vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1994

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