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Data Analyst Jobs in Rancho Cucamonga, CA (NOW HIRING)

Pacific Consolidated Industries LLC

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Data Analytics Analyst

Riverside, CA · On-site

$45K - $103K/yr

Summary This position is responsible for analyzing business data and developing analytical solutions that support strategic and operational decision making across the organization. The incumbent ...

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All JobsData Analyst JobsData Analyst Jobs in Rancho Cucamonga, CA

Data Analyst information

See Rancho Cucamonga, CA salary details

$34.7K

$84.5K

$139K

How much do data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data analyst in Rancho Cucamonga, CA is $84,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $99,100.00 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.
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Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Rancho Cucamonga, CA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $84,451 per year, or $40.6 per hour.

Data Analyst - Biorepository Operations

City of Hope

Duarte, CA • On-site

Full-time

Re-posted 12 days ago

City Of Hope rating

8.4

Company rating: 8.4 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

26th of 889 rated healthcare providers

Job description

Join the transformative team at City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope's growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today.

Reporting to the Chief of Staff of the Henderson Biorepository, the Biorepository Data Analyst supports end-to-end human clinical biospecimen inventory operations. You'll partner with biorepository staff, researchers, vendors, and Research Informatics to strengthen data quality, streamline workflows, and expand system capabilities so biospecimens are received, tracked, reported, and shipped accurately across sites.

As a successful candidate you will:

Biorepository Data Activities:

  • Own LabVantage (COH biospecimen inventory tracking) and/or other Biobanking LIMS features; help implement the selected system at all COH locations (travel may be required).

  • Serve as COH's technical representative to the LIMS vendor (LabVantage or other proprietary biobank system).

  • Train and onboard researchers using the inventory system for laboratory biospecimen tracking.

  • Be knowledgeable about the service and cost recovery software, iLab.

  • Design efficient receiving and inventory processes with biorepository staff; generate shipping manifests for biospecimen shipments.

  • Enhance barcode scanning at receipt; design interfaces to liquid handling systems and automated freezer storage units; create new biorepositories in the inventory system for researchers.

Research Informatics Interfaced Activities:

  • Partner with Epic software staff to improve communication between Epic and the biospecimen inventory system; with the Chief of Staff, collaborate with Honest Broker staff to improve biospecimen queries.

  • Inform Research Informatics on new users and iLab-related workflow enhancements at an agreed cadence; prepare and execute weekly, monthly, and annual metrics/status reports; monitor data and provide dashboards and updates; validate user requirements as software iterations are built.

Your qualifications should include:

  • Must have at least a bachelor's degree in computer science or a relevant field; 3 additional years of experience plus the minimum experience requirement may substitute for minimum education.

  • 3 years of experience in managing data operations within a biorepository and/or supporting biorepositories.

  • Experience with Biobank LIMS or laboratory operations, including workflows, data management, or quality/compliance processes as related to biospecimen life cycle management.

  • Experience in Software Development.

Preferred qualifications:

  • Project Management Certificate (PMC) III or higher.

  • Programming skills in languages such as Python, R, or Perl.

  • 4 years of experience as a data analyst, preferably in a research/academic environment.

  • Familiarity with genetic testing results.

  • Experience with searching large clinical oncology data sets.

City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.

City of Hope is an equal opportunity employer.

To learn more about our Comprehensive Benefits, please CLICK HERE.

What City Of Hope employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About City of Hope

Sourced by ZipRecruiter

City of Hope is an independent biomedical research and treatment organization for cancer, diabetes and other life-threatening diseases. Founded in 1913, City of Hope is a leader in bone marrow transplantation and immunotherapy such as CAR T cell therapy. City of Hopes translational research and personalized treatment protocols advance care throughout the world. Human synthetic insulin, monoclonal antibodies and numerous breakthrough cancer drugs are based on technology developed at the institution. AccessHope, a subsidiary launched in 2019 serves employers and their health care partners by providing access to City of Hopes specialized cancer expertise. City of Hope is ranked among the nations Best Hospitals in cancer by U.S. News & World Report and received Magnet Recognition from the American Nurses Credentialing Center. Its main campus is located near Los Angeles, with additional locations throughout Southern California and in Arizona.

Industry

Hospitals

Company size

1,001 - 5,000 Employees

Headquarters location

Duarte, CA, US

Year founded

1913

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