2

Entry Level Excel Data Analyst Jobs in Riverside, CA

Verified background in business analysis, data analysis, or any allied subject. ability to effectively examine data with programs and languages including R, Python, SQL, or Excel. skilled in the ...

... Excel to analyze data - Good verbal and written communication skills - Ability to work well in a team environment. Additional Information All your information will be kept confidential according to ...

The ideal candidate will have a strong foundation in data analysis, reporting, and process improvement, with a high level of proficiency in Microsoft Excel. Requirements Key Responsibilities

next page

Showing results 1-20

Entry Level Excel Data Analyst information

See Riverside, CA salary details

$13

$34

$64

How much do entry level excel data analyst jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for entry level excel data analyst in Riverside, CA is $34.35, according to ZipRecruiter salary data. Most workers in this role earn between $22.07 and $38.37 per hour, depending on experience, location, and employer.

What is an entry level Excel data analyst?

An Entry Level Excel Data Analyst is a professional who uses Microsoft Excel to organize, analyze, and interpret data to help organizations make informed decisions. They typically work with large datasets, create reports, and use Excel functions like formulas, pivot tables, and charts. Entry level analysts often assist senior analysts and may help with data cleaning, trend analysis, and basic data visualization. This role is ideal for individuals starting their careers in data analysis and looking to develop their technical and analytical skills.

What are the key skills and qualifications needed to thrive as an entry level Excel data analyst?

To thrive as an Entry Level Excel Data Analyst, you need a solid understanding of data analysis fundamentals, proficiency with Microsoft Excel, and at least a bachelor's degree in a related field. Familiarity with Excel functions, pivot tables, basic data visualization tools, and possibly introductory knowledge of SQL or BI tools is advantageous. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data accurately and present findings clearly. These skills are critical for transforming raw data into actionable insights that support business decisions.

What are some common challenges faced by entry level Excel data analysts, and how can they be overcome?

Entry-level Excel Data Analysts often encounter challenges such as managing large datasets, ensuring data accuracy, and learning advanced Excel functions. These can be overcome by gradually building proficiency in Excel through practice and online tutorials, double-checking data for errors, and seeking guidance from more experienced team members. Collaboration with colleagues and participating in team meetings can also help analysts understand project requirements and best practices, making it easier to deliver accurate and meaningful insights.

What is the difference between Entry Level Excel Data Analyst vs Data Coordinator?

AspectEntry Level Excel Data AnalystData Coordinator
Required SkillsProficiency in Excel, basic data analysis, attention to detailData management, organization, Excel skills, communication
CertificationsExcel certifications, data analysis coursesData management certifications often preferred
Work EnvironmentOffice setting, analytical tasks, reportingOffice environment, data entry, coordination tasks
Industry UsageBusiness, finance, marketingHealthcare, education, corporate sectors

While both roles involve working with data and Excel, an Entry Level Excel Data Analyst focuses on analyzing data and generating reports, whereas a Data Coordinator manages data organization and ensures data accuracy across systems. The analyst role emphasizes analysis skills, while the coordinator emphasizes data management and coordination tasks.

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

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

What are popular job titles related to Entry Level Excel Data Analyst jobs in Riverside, CA?

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

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

The top searched job categories for Entry Level Excel Data Analyst jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Entry Level Excel Data Analyst jobs?

Cities near Riverside, CA with the most Entry Level Excel Data Analyst job openings:

Infographic showing various Entry Level Excel Data Analyst job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $71,451 per year, or $34.4 per hour.

Full-time

Re-posted 21 days ago


Job description

REMOTE - US Residents Only
We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing, and analysis; these will affect strategic corporate decisions. By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who enjoys statistics, enjoys solving issues, and enjoys using analytics to provide value, this is an amazing opportunity.

Main Activities:

By gathering, cleansing, and evaluating large datasets, find trends, patterns, and insights.

Create and update easy-to-use dashboards and reports to properly communicate findings to nontechnical stakeholders.

Analyze facts and come to decisions to support corporate strategy, process improvement, and decision-making.

Create and carry out ad hoc research to satisfy the needs of several divisions of the business.

Work with groups to create key performance indicators (KPIs) and to pinpoint critical metrics for ongoing observation.

Foretell outcomes and identify areas of expansion using statistical tools and data modeling.

Staying current with industry trends, best practices, and new technologies helps one to make sure that data analysis processes are continually being enhanced.

Automating repetitious data processes will help to simplify processes and increase efficiency.

Look for discrepancies and propose corrections to confirm data is accurate and full.

Needed Competencies:

Verified background in business analysis, data analysis, or any allied subject.

ability to effectively examine data with programs and languages including R, Python, SQL, or Excel.

skilled in the application of Tableau and Power BI among data visualization tools.

Mastery in statistical techniques and data modeling.

ability to succinctly and clearly show complex data results to viewers ranging in knowledge from professionals to laypeople.

Superior analytical and problem-solving skills; exacting.

competent of properly scheduling one's time, creating priorities, and finishing projects on schedule.

Work experience in a quantitative field like mathematics, statistics, computer science, economics, etc. or education in such areas.

Our offerings comprise:

a workplace supportive of innovative ideas and group projects.

Prospects for lifelong learning and professional development.

Reasonably affordable benefits and flexible working schedules.

a chance to greatly influence things by basing decisions on statistics.