ZipRecruiter

Log In

1

Assistant Data Analyst Jobs in Riverside, CA (NOW HIRING)

Soboba Casino

Database Analyst (ON-SITE)

San Jacinto, CA · On-site

$62K - $70K/yr

The Database Analyst will provide technical and organizational support for the Database Manager ... Provide data-driven recommendations to improve player retention and acquisition. * Assist in ...

1 point system

Systems Analyst

Rancho Cucamonga, CA · On-site

Data Analysis, Reporting & Programming * Strong data integrity, reporting, ad-hoc analysis, and ... Support current applications and assist with new application implementations and legacy system ...

City of Rialto, CA

Crime Analyst Assistant

Rialto, CA · On-site

$5.8K - $7.8K/mo

POLICE DATA PROCESSING Opening Date: 07/22/2026 Closing Date: Continuous Classification Definition ... Assist in analyzing patterns of criminal activity in the Rialto area; retrieve data; generate ...

City of Rialto

Crime Analyst Assistant

Rialto, CA · On-site

$5.8K - $7.8K/mo

To perform sub-professional technical and administrative support of data processing, researching ... Assist in analyzing patterns of criminal activity in the Rialto area; retrieve data; generate ...

previous pagenext page

Showing results 21-40

All JobsData Analyst JobsAssistant Data Analyst JobsAssistant Data Analyst Jobs in Riverside, CA

Assistant Data Analyst information

See Riverside, CA salary details

$29.2K

$74.8K

$142.9K

How much do assistant data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for assistant data analyst in Riverside, CA is $74,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $87,100.00 per year, depending on experience, location, and employer.

What does an assistant data analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

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

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.

What are some common challenges an assistant data analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

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

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

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

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

What are popular job titles related to Assistant Data Analyst jobs in Riverside, CA?

For Assistant Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Assistant Data Analyst jobs in Riverside, CA look for?

The top searched job categories for Assistant Data Analyst jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Assistant Data Analyst jobs?

Cities near Riverside, CA with the most Assistant Data Analyst job openings:

Assistant Data Analyst jobs near you
Infographic showing various Assistant Data Analyst job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $74,774 per year, or $35.9 per hour.

Operations Data & Financial Analyst

Skechers

Rancho Cucamonga, CA • On-site

Full-time

Re-posted 14 hours ago

Skechers rating

6.5

Company rating: 6.5 out of 10

Based on 175 frontline employees who took The Breakroom Quiz

40th of 62 rated fashion and textile manufacturers

Job description

Job Summary:
Skechers is a global Fortune 500® company that develops and markets a diverse range of lifestyle and performance footwear, apparel, and accessories. The Operations Data & Financial Analyst will deliver data-driven insights and develop reporting solutions to support operational and financial decision-making.
Responsibilities:
• Design, build, and maintain dashboards and reports in Power BI and Excel to include advanced formulas and automation
• Extract, transform, and analyze large datasets using SQL including joins, CTEs, and query optimization, and DAX to support business and financial needs
• Develop and maintain analytical and financial models for forecasting, labor planning, cost analysis, KPI tracking, and performance analysis.
• Proactively identify trends, anomalies, cost drivers, and opportunities to improve operational and financial performance.
• Ensure all reporting is accurate, timely, and structured for clarity and usability across technical and non-technical audiences, including financial stakeholders
• Continuously improve reporting frameworks to enhance efficiency, scalability, and visual effectiveness
• Collaborate with cross-functional stakeholders to understand business and financial needs and translate them into analytical solutions
• Deliver actionable insights that support both day-to-day operations and financial/strategic decision-making
• Support recurring executive reporting, including KPI summaries, financial performance insights, and QBR materials
• Identify and implement opportunities to streamline manual processes through automation and improved data workflows
• Contribute to the development and standardization of datasets, metrics, and reporting structures, including financial definitions where applicable
• Support data quality initiatives, ensuring consistency, accuracy, and reliability across all outputs
• Validate data sources and outputs to maintain high standards of accuracy, integrity, and financial reliability
• Document data definitions, logic, and reporting methodologies to ensure transparency and repeatability
• Assist in maintaining structured and scalable data environments for reporting and analysis
• Proactively analyze and interpret database tables and fields to ensure data completeness and integrity
Qualifications:
Required:
• Bachelor’s degree or higher in Data Analytics, Supply Chain Management, Finance, Economics, Business Administration or closely related field.
• Great analytical, critical thinking and problem-solving abilities
• Strong management, communication, and organizational skills
• Adaptable and capable of working in a fast-paced environment
• Competency in Microsoft applications including Word, Excel, and Outlook.
• Two or more years of analyst experience
Company:
Skechers is a Fortune 500® company — a growth-oriented brand that designs, develops, and markets a diverse product portfolio of lifestyle and performance footwear, apparel and accessories for men, women and children around the globe. Founded in 1992, the company is headquartered in Manhattan Beach, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Skechers employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply