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

Investment Management Analyst

Irvine, CA ยท On-site

$83 - $102/hr

... * Assist with enhancing existing reporting tools and implementing improvements to data ... Operational and Financial Data Analysis Assess business performance through KPIs and operational ...

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Data Analysis Assistant information

See Riverside, CA salary details

$11

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How much do data analysis assistant jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data analysis assistant in Riverside, CA is $19.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $22.31 per hour, depending on experience, location, and employer.

What does a data analysis assistant do?

A Data Analysis Assistant supports data analysts and data scientists by collecting, cleaning, organizing, and preparing data for analysis. They help ensure the accuracy and integrity of datasets, create basic reports or visualizations, and may assist with statistical analysis or data entry tasks. Their work allows the analysis team to focus on more complex data interpretation and decision-making, making the assistant an essential part of the data workflow.

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

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What are some common challenges faced by data analysis assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.

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

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

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

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

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

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

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

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

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

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

Infographic showing various Data Analysis Assistant job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $41,344 per year, or $19.9 per hour.

Operations Junior Data & Staffing Analyst

KAHANA & FELD LLP

Irvine, CA โ€ข On-site

Full-time

Posted 27 days ago


Key responsibilities

  • Collect, organize, and analyze data from multiple systems to support operational and strategic initiatives.

  • Maintain and improve data quality, perform data cleanup, and integrate data into reports and dashboards.

  • Build and manage workflows, reports, and visualizations to monitor staffing, workload, and operational metrics.


Job description

Description:

The Operations Junior Data & Staffing Analyst supports the firm’s leadership, practice groups, and administrative departments by collecting, organizing, and analyzing data across multiple systems to drive strategic and operational initiatives.  This position works closely with Practice Group Management, Legal and People Operations, Finance, and Practice Group leadership to support workload management, utilization tracking, staffing coordination, and operational efficiency across the firm’s practice groups.


This is a fast-paced, collaborative role that requires exceptional organizational skills and attention to detail, and the ability to liaise effectively between attorneys, firm leadership, and administrative departments. The Operations Junior Data & Staffing Analyst ensures that each group is well supported, aligned with firm priorities, and equipped to deliver outstanding client service. 


Duties and Responsibilities

Data Analysis & Reporting

  • Pull, organize, and analyze data from the firm’s finances, timekeeping, and billing systems to identify trends, support decision-making, and improve operational performance.
  • Run regular weekly, monthly, and ad hoc reports to support business goals across operations, client service, and client relations.
  • Provide firm leadership with insights and visual analyses derived from structured and unstructured data sources.

Data Management & Quality

  • Maintain and improve data hygiene across multiple databases, ensuring consistency, accuracy, and completeness.
  • Perform data cleanup and maintenance projects to enhance reporting reliability and system efficiency.
  • Gather, validate, and integrate data from multiple systems and locations into consolidated reports and dashboards.

System Integration & Automation

  • Build and manage SharePoint lists with advanced functionality, connecting data from multiple systems for leadership access and workflow automation.
  • Develop forms that automatically funnel data into spreadsheets or dashboards for real-time tracking and executive review.
  • Use APIs, PowerShell scripts, and automation tools to connect systems, push and pull data, and streamline processes.
  • Assist in the transition and quality assurance of data between the firm’s management systems and new software platforms.

Business Intelligence & Visualization

  • Design, maintain, and enhance dashboards and visual reports in Power BI to monitor KPIs and business trends.
  • Translate complex data into clear, actionable insights for non-technical audiences.
  • Support firm initiatives in financial analysis, client relationship management, and business development through data-driven insights.

Operational Management

  • Compile, analyze, and maintain operational and staffing reports, including utilization, capacity, productivity, and matter assignment data.
  • Utilize Power Automate, Microsoft Lists, Microsoft Excel, and SharePoint skills to create automated processes and workflows for staffing, teams, and headcount ratios.
  • Monitor and analyze timekeeper workloads and assist in identifying staffing gaps, capacity concerns, and workflow trends to ensure a balanced workload while meeting client needs promptly and make recommendations to Practice Group leadership.
  • Coordinate with Legal and People Operations, Finance, Recruiting, and the Practice Group Leaders regarding attorney assignments and staffing needs.
  • Prepare recurring and ad hoc reports related to attorney productivity, billable hours, staffing allocation, and operational metrics.
  • Work with practice group leaders and firm leadership to understand business goals, plan for future needs, and allocate resources effectively. This includes tracking partner-associate ratios and providing staffing forecasts.
  • Set up and manage efficient workflows, task tracking, calendars, and systems for organizing legal information.
  • Serve as a key contact between partners, lawyers, and the firm’s support departments (billing, people ops, IT, marketing, etc.) to assist the practice group in achieving its objectives.
  • Identify and participate in development and implementation of improvements to processes and workflows, leveraging the firm’s technology resources and proven methods.

Qualifications

  • Bachelor’s degree in Business Administration, Computer/Data Science, Data Mining and Analytics, Engineering, Statistics, Economics, or a related field.
  • 1+ years of experience in computer/data science, legal operations, staffing coordination, finance, or professional services operations.
  • Prior experience in a law firm or professional services setting is preferred.
  • Experience and working knowledge of SQL is required. 
  • Advanced Excel (including pivot tables, formulas, macros, and data modeling).
  • Advanced SharePoint functionality, including list setup, permissions, or automation.
  • Power BI for dashboard creation and data visualization.
  • Experience with APIs and data integration across systems.
  • Experience with Python for data applications.
  • PowerShell scripting for workflow automation and data transfer.
  • Excellent organizational, analytical, and communication skills with the ability to explain complex data concepts to diverse stakeholders.
  • Strong attention to detail, data accuracy, and system integrity.

This job description reflects management's assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned.


Equal Opportunity Employer

Kahana Feld provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.


Job Type

Full-Time, Non-Exempt


Supervisory Responsibilities

None


Work Location

Hybrid


Work Schedule

8:30am - 5:30pm Monday-Friday. Occasional weekends and holidays


Hourly Rate

$35.00 - $40.00


Physical Requirements

Primarily sedentary work. Exerting up to 40 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Work is performed in an office environment and requires the ability to operate standard office equipment and keyboards. Must have the ability to walk short distances, and/or drive a vehicle to deliver and pick up materials. Work can be performed with or without accommodations.


Travel

5 – 10% domestic travel by ground and or air, dependent on firm needs 

Requirements: