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Data Analyst Jobs in Rialto, CA (NOW HIRING)

Essc

Experience and Outcomes Analyst

Ontario, CA · On-site

$37 - $45/hr

Consolidates and standardizes data from multiple sources to help create a unified view of ... Conducts quantitative and qualitative analysis, including trend analysis, theme identification ...

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Showing results 21-40

All JobsData Analyst JobsData Analyst Jobs in Rialto, CA

Data Analyst information

See Rialto, CA salary details

$34.1K

$82.9K

$136.4K

How much do data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data analyst in Rialto, CA is $82,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $97,300.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

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

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

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

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

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

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

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Rialto, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,869 per year, or $39.8 per hour.

Healthcare Data Analyst II

Inland Empire Health Plan

Rancho Cucamonga, CA • On-site

$91K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

Inland Empire Health Plan rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

268th of 311 rated insurance

Job description

Overview
What you can expect!
Find joy in serving others with IEHP! We welcome you to join us in "healing and inspiring the human spirit" and to pivot from a "job" opportunity to an authentic experience!
Under the direction of the Quality Systems Leadership Team, the Healthcare Data Analyst II (HDA) is responsible for leading various data and analysis efforts for the Health Plan's Clinical and Provider departments, programs, and quality activities. The HDA must have significant experience in designing relational databases, complex query logic and statistical analysis. In addition to technical data concepts, the HDA will utilize sound research methods and statistical concepts in designing reliable studies/analyses, and payment algorithms supporting IEHP's quality programs. The HDA presents study/analysis results to various audiences throughout the organization, including the leadership team.
Commitment to Quality: The IEHP Team is committed to incorporate IEHP's Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.
Additional Benefits
Perks
IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.
  • Competitive salary
  • State of the art fitness center on-site
  • Medical Insurance with Dental and Vision
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development
  • Wellness programs that promote a healthy work-life balance
  • Flexible Spending Account - Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance

Key Responsibilities
  1. Serve as technical lead in analysis and reporting efforts that support the Health Plan's Clinical and Provider teams, programs, and quality activities.
  2. Significant participation in analysis, interpretation, and translating of complex health plan data, issues, trends, and relationships into effective strategies and action plans.
  3. Present findings of analyses to various staff levels including executive team, leadership team and staff levels. Present results in formats that are easy to understand and appropriate to the audience.
  4. Use analytical skills to determine solutions and resolve problems.
  5. Exercises timely and accurate data mining techniques and develops new or modifies existing reports that ensure consistent and congruent conclusions to data analysis.
  6. Applies statistical modeling methodologies when appropriate in the development of health plan, provider, and member analysis.
  7. Develop and prepare reports to support IEHP's clinical and provider units utilizing available analytics and data mining tools, including but not limited to: Microsoft Applications (including MS Access and MS PowerBI), SAS, SQL, system-specific reporting tools (or other related reporting software).
  8. Responsible for evaluating report requests to determine requestor's needs and objectives, identifying correct methodology for extracting data including data sources and criteria, and ensuring the delivered report is accurate, timely, and formatted appropriately.
  9. Responsible for understanding the various data sources available within IEHP for reporting and analysis, as well as a clear understanding of IEHP business operations to be able to appropriately guide the development of quality program activities, including analysis and reporting.
  10. Responsible for managing assigned projects and effectively communicating with the QS leadership team any project deadlines that may be in jeopardy of being met, well in advance of the due date.
  11. Document all analysis / reporting projects following established protocols, ensuring replication of results by an independent reviewer.
  12. Designs and enhances databases to support reporting and analysis needs, including testing, validating, and maintaining data integrity and accuracy, across multiple databases.
  13. Demonstrate a commitment to incorporate LEAN principles into daily work.
  14. Establish and maintain effective working relationships with others throughout the organization.

Qualifications
Education & Requirements
  • Three (3) years of relevant work experience
  • Demonstrated experience working with large data sets and relational database structures
  • Master's degree from an accredited institution required
    • In lieu of a Master's degree, a minimum of a Bachelor's degree and two (2) years of additional relevant work experience is required for this position
    • This experience is in addition to the minimum years listed in the Experience Requirements above

Key Qualifications
  • Understanding of statistical methods and experience applying statistical methods to answer data questions
  • Working knowledge of data analysis, study methodology, and preparing professional documents
  • Data analysis, data presentation, spread sheet and database capabilities
  • Proficient in of Microsoft Access, MS PowerBI, SAS, SQL, or other statistical applications are essential
  • Excellent interpersonal/ communication skills
  • Proficiency in Microsoft Excel, Word and Power Point required
  • Strong attention to detail
  • Ability to present reports / data analysis findings in group settings
  • Strong problem-solving capability
  • Ability to manage multiple projects with time-sensitive deadlines a must

Start your journey towards a thriving future with IEHP and apply TODAY!
Work Model Location
This position is on a hybrid work schedule. (Mon & Fri - remote, Tues - Thurs onsite in Rancho Cucamonga, CA)
Pay Range
USD $91,249.60 - USD $120,910.40 /Yr.

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