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No Experience Data Analytics Jobs in Riverside, CA

AMERICAN INDUSTRIAL SYSTEMS, INC.

Data Analyst

Irvine, CA · On-site

$96K - $100K/yr

Candidate must have at least a Master's degree in Statistics, Data Science, or Industrial Engineering, along with 3 months of prior Business Analyst or Data Scientist experience. Domestic travel ...

OMEGA INCOME TAX SERVICE

Data Analyst

San Bernardino, CA · On-site

* Data Analysts collect data, income and expenses, are able to gathers, cleans, and studies data sets ... experience could help * Essentially, the 3 important qualities of customer service center around ...

Collabera

Data Analyst

Santa Ana, CA · On-site

Qualifications Minimum Education, Experience and Training Required: Bachelor's degree in a sciences ... data analysis, preferably in a regulated medical products manufacturer - Knowledge of and ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

FieldAI

Field Data Analyst

Irvine, CA

$75K - $115K/yr

Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic ... • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) • ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic ... • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) • ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Strong analytical and problem-solving skills ... Experience working with large datasets and multiple data sources. * Ability to communicate findings ...

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All JobsData Analytics JobsNo Experience Data Analytics JobsNo Experience Data Analytics Jobs in Riverside, CA

No Experience Data Analytics information

See Riverside, CA salary details

$25

$57

$98

How much do no experience data analytics jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for no experience data analytics in Riverside, CA is $57.12, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $64.71 per hour, depending on experience, location, and employer.

Is it hard to get a data analyst job with no experience?

Entry-level data analyst positions often require some familiarity with data tools like Excel, SQL, or Python, but many employers are willing to hire candidates with no experience if they demonstrate strong analytical skills and a willingness to learn. Gaining relevant certifications or completing projects can improve chances, though competition may be high for roles requiring minimal experience.

What is the difference between No Experience Data Analytics vs Data Analyst?

AspectNo Experience Data AnalyticsData Analyst
Required CredentialsNone or basic certificationsBachelor's degree in related field, certifications preferred
Work EnvironmentEntry-level, training-focused, often in tech or financeOffice-based, collaborative, project-driven
Employer & Industry UsageStartups, internships, entry-level roles across industriesEstablished companies, mid-level roles in various sectors
Search & Comparison IntentUnderstanding entry points, beginner rolesCareer progression, skill requirements

In summary, No Experience Data Analytics roles are designed for beginners with minimal or no prior experience, often requiring basic certifications and offering training. Data Analysts typically have relevant education and experience, working in more structured environments. Both roles serve different stages of a data analytics career path.

What are the key skills and qualifications needed to thrive as a Data Analyst with no prior experience, and why are they important?

To thrive as a Data Analyst without prior experience, you need a solid understanding of basic statistics, data visualization, and spreadsheet proficiency, often supported by a relevant degree or online coursework. Familiarity with tools like Microsoft Excel, SQL, and introductory data analytics platforms such as Tableau or Google Data Studio is common. Strong problem-solving, curiosity, and effective communication skills help you interpret data and convey insights clearly to stakeholders. These skills enable you to analyze data accurately, support decision-making, and demonstrate potential for growth in analytics roles.

What types of entry-level tasks can someone expect in a No Experience Data Analytics role?

In a No Experience Data Analytics position, you can expect to start with foundational tasks such as cleaning and organizing datasets, creating basic data visualizations, and assisting with simple report generation. You may also help with data entry, validating data accuracy, and supporting senior analysts in data collection projects. These responsibilities help you build technical skills and familiarity with analytical tools, while working closely with more experienced team members who provide guidance and mentorship. Over time, you’ll have opportunities to take on more complex analyses as your confidence and skill set grow.

Is 40 too late for data science?

No, 40 is not too late to start a career in data science or data analytics. Many professionals successfully transition into data roles later in life by gaining relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience, continuous learning, and building a strong portfolio are more important than age in this field.

Can you work as a data analyst without experience?

Entry-level data analyst positions often do not require prior experience and focus on skills such as data manipulation, basic statistical analysis, and proficiency with tools like Excel or SQL. Candidates can improve their chances by completing relevant certifications or courses to demonstrate their abilities to employers.

What are 'No Experience Data Analytics' jobs?

'No Experience Data Analytics' jobs are entry-level positions in the field of data analytics that do not require prior professional experience in analytics or data science. These roles are designed for beginners and often focus on teaching foundational skills, such as data cleaning, basic analysis, and using analytics tools like Excel or Tableau. Employers may look for candidates with strong problem-solving abilities, attention to detail, and a willingness to learn. Many of these jobs offer on-the-job training or require completion of online courses or certifications. They provide a pathway for individuals to start a career in data analytics, even if they have just graduated or are switching fields.

How do you become a data analyst with no experience?

To become a data analyst with no experience, focus on developing foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI. Completing online courses, earning certifications, and working on personal or volunteer projects can help build a portfolio and demonstrate your abilities to employers.
What are the most commonly searched types of Data Analytics jobs in Riverside, CA? The most popular types of Data Analytics jobs in Riverside, CA are:
What are popular job titles related to No Experience Data Analytics jobs in Riverside, CA? For No Experience Data Analytics jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching No Experience Data Analytics jobs in Riverside, CA look for? The top searched job categories for No Experience Data Analytics jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for No Experience Data Analytics jobs? Cities near Riverside, CA with the most No Experience Data Analytics job openings:
No Experience Data Analytics jobs near you
Business Intelligence Data Engineer

Business Intelligence Data Engineer

Quality Custom Distribution

Irvine, CA • On-site

Full-time

Posted 7 days ago

Quality Custom Distribution rating

7.1

Company rating: 7.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Golden State Foods is a distinguished leader in the food service industry, offering an extensive array of products and services to a diverse clientele. The Data Engineer will be responsible for the full cycle of data warehouse development, including analyzing business requirements, designing ETL processes, and providing production support for data visualization tools.
Responsibilities:
• Work with business requirements to identify and understand source data systems; provide resolutions to all data issues and coordinate with data analyst to validate all requirements, perform interviews with all users and developers.
• Map source system data to data warehouse tables
• Develop and perform tests and validate all data flows and prepare all ETL/ELT processes according to business requirements and incorporate all business requirements into all design specifications.
• Define and capture metadata and rules associated with ETL processes
• Adapt ETL processes to accommodate changes in source systems and new business user requirements
• Collaborate with all developers and business users to gather required data and execute all ETL programs and scripts on systems and implement all data warehouse activities and prepare reports for same.
• Provide support and maintenance on ETL processes and documentation
• Build partnerships across the application, business, and infrastructure teams
• Strive to continuously improve the software delivery processes and practices
• Champion company standards and best practices
• Accountable for properly following all IT standards, processes and methodologies as applicable including but not limited to Quality Assurance (QA)
• Other responsibilities and accountabilities may be assigned based on business and organization needs.
Qualifications:
Required:
• Four year college in a quantitative field such as Computer Science / Computer Information Systems or commensurate work experience.
• Industry experience as a Business Intelligence Data Engineer or related specialty (e.g. Software Engineer, Business Intelligence Engineer, and Data Scientist) with extensive professional experience and a proven track record in a role focused on understanding, manipulating, processing and extracting value from various systems.
• Strong proficiency in SQL
• Expert in ETL tools such Matillion, Informatica, SSIS, ODI etc. as and/or other data manipulation languages such as Python, SAS and R.
• Creative in finding new solutions and designing innovative methods, systems and processes
• Desire to create and build new predictive/optimization tools for structuring datasets
• Extensive experience Data Warehousing development: Star Schema modeling, slowly changing dimensions, row-level security, standard DW architecture/processes, troubleshooting and production support.
Preferred:
• Experience with AWS such as Redshift, EC2, S3, Pythons
• Strong analytic skills for working with structured and/or unstructured datasets
• Strong project management and organizational skills, experience working on complex initiatives with cross-functional teams in a dynamic environment
• Experience with connecting data sets to data visualization tools and creating reports using PowerBI or other visualization tools.
Company:
Quality Custom Distribution is one of the largest diversified suppliers to the Quick Service Restaurant industry throughout the US. Founded in 2006, the company is headquartered in Frisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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