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Assistant Data Analyst Training Jobs in Riverside, CA

PDS Health

Sr Analyst, People Analytics and Data

Irvine, CA · On-site

$92K - $116K/yr

Provides reporting & analytics training and guidance to end-users. * Adheres to data privacy and access policies, complies with security and system change control/governance. Qualifications

Schoolsfirstfcu

BU Data Analyst II

Tustin, CA · On-site

BU Data Analyst II The pay range for this position is listed below. Our pay ranges are built to ... Provides training and user manuals to users of a new or existing system. Prepares end-user release ...

New

Essc

Analyst, EHR

Ontario, CA · On-site

$70K/yr

Develops training materials as required. * Analyzes and interprets EHR system data for use in ... Ability to assist in efficient office operations. * Ability to maintain customer-service ...

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

Assistant Data Analyst Training information

See Riverside, CA salary details

$29.2K

$74.8K

$142.9K

How much do assistant data analyst training jobs pay per year?

As of Sep 13, 2026, the average yearly pay for assistant data analyst training 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 is an assistant data analyst training program?

An Assistant Data Analyst Training program is a structured course or series of workshops designed to teach foundational data analysis skills. Participants learn how to collect, organize, and interpret data using tools such as Excel, SQL, and data visualization software. The training often covers basic statistics, data cleaning, and reporting techniques to prepare individuals for entry-level roles as data analysts. These programs are suitable for beginners and those looking to transition into data-related fields.

What are the key skills and qualifications needed to thrive as an assistant data analyst in training?

To thrive as an Assistant Data Analyst in training, you need a solid grounding in statistics, data interpretation, and a relevant educational background such as a degree in mathematics, statistics, or computer science. Familiarity with tools like Excel, SQL, and data visualization software, as well as basic knowledge of programming languages like Python or R, is highly beneficial. Attention to detail, analytical thinking, and effective communication are critical soft skills for interpreting data and collaborating with teams. These skills ensure accurate data analysis, meaningful insights, and clear reporting, which are essential for supporting organizational decision-making.

What are some common challenges faced by assistant data analysts during their training period, and how can they overcome them?

Assistant Data Analysts in training often encounter challenges such as adapting to new data analysis tools, understanding complex datasets, and translating business requirements into actionable insights. It's common to feel overwhelmed by the variety of data sources and the technical skills required, such as proficiency in Excel, SQL, or visualization tools. Overcoming these hurdles typically involves proactively seeking mentorship, participating in team discussions, and consistently practicing with real datasets to build confidence and competence. Collaborating closely with senior analysts and asking clarifying questions can significantly accelerate the learning process.

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

AspectAssistant Data Analyst TrainingData Analyst
Required CredentialsBasic certifications, training programsBachelor's degree in related field, certifications
Work EnvironmentEntry-level, supervised tasks, training settingsFull responsibilities, independent analysis
Employer UsageTraining programs, internships, entry rolesFull-time analyst roles in various industries
Search & Comparison IntentLearning path, entry-level roles, training optionsCareer advancement, job requirements, skills needed

Assistant Data Analyst Training focuses on preparing individuals with foundational skills through courses and internships, while Data Analyst roles involve performing independent data analysis tasks in professional settings. Training is ideal for beginners, whereas Data Analyst positions require more experience and technical expertise.

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

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

Assistant Data Analyst Training jobs near you
Infographic showing various Assistant Data Analyst Training job openings in Riverside, CA as of September 2026, with employment types broken down into 2% Internship, 62% Full Time, 26% Part Time, 4% Temporary, 4% Contract, and 2% Nights. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $74,774 per year, or $35.9 per hour.

Financial/Data Analyst

Irvine, CA

WNC & Associates, Inc.
Finance and Insurance • 51 - 200 employees
Learn more about WNC & Associates, Inc.external

$60K - $65K/yr

Full-time

Posted 3 days ago

New

Job description

Overview:

Preservation Equity Fund Advisors (PEFA) seeks a Financial/Data Analyst for its growing Asset Management team. PEFA is dedicated to preserving affordable housing through acquisition of existing apartment communities while in return, providing cash flow and appreciation to its investors. The Financial Analyst will join a collaborative group of real estate professionals while contributing to an up-and-coming venture. The ideal candidate enjoys collaborating with a team, has a positive attitude and is interested in multi-family real estate. 

Position Responsibilities:

  • Power BI: Oversee the upload process of 3rd party management company excel files to our internal financial portal for the portfolio. 
  • EPIQ Build Out: work with IT department to update and build out various tabs to track and monitor data.
  • Data Entry Optimization: Identify opportunities to optimize current data entry processes.
  • Budget Comparison: Complete budget comparisons that compare the underwritten projections to the 3rd party management budgeted projections.
  • Ad Hoc Analysis: Complete various ad hoc reports and tasks for the team.
  • On Boarding New Properties: Assist with Due Diligence and Onboarding of new properties.
  • Asset Management: shadow Asset Managers and assist with weekly operations calls and Asset Manager’s needs.

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