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Data Analyst Jobs in Colton, CA (NOW HIRING)

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

CACi

Data Analyst

Riverside, CA · On-site

$142K/yr

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

CACI

Data Analyst

Riverside, CA · On-site

$142K/yr

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

Infinity Marketing

Data Analyst

Riverside, CA · Remote

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 ...

VSolvit

BUSINESS DATA ANALYST 2

Norco, CA · On-site

$88K - $120K/yr

The Data Analyst II will be responsible for transforming complex data into actionable insights, creating clear and informative visualizations, and supporting data-driven decision-making across the ...

VSolvit

BUSINESS DATA ANALYST 1

Norco, CA · On-site

$33.17 - $42.31/hr

The Data Analyst I will support data collection, data preparation, reporting, and visualization activities. This position will assist with transforming operational and business data into clear ...

CACI

Data Analyst with Security Clearance

Riverside, CA · On-site

$142K/yr

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

Essc

Experience and Outcomes Analyst

Ontario, CA

$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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All JobsData Analyst JobsData Analyst Jobs in Colton, CA

Data Analyst information

See Colton, CA salary details

$34.7K

$84.4K

$139K

How much do data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analyst in Colton, CA is $84,439.00, 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.
More about Data Analyst jobs

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

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

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

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

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

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

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Colton, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $84,439 per year, or $40.6 per hour.

Data Analyst

CACI International, Inc.

Riverside, CA • On-site

$142K/yr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago

Job description

Job Title: Data Analyst
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: Secret
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
* * *
The Opportunity:
CACI is seeking a skilled Data Analyst with 2-5 years of experience to support the Data & Analytics team at Naval Surface Warfare Center (NSWC) Corona. The ideal candidate will have a strong background in data visualization, data processing, and proficiency in Python. The Data Analyst will be responsible for transforming complex data into actionable insights, creating compelling visualizations, and supporting data-driven decision-making across the organization.
Responsibilities:
  • Analyze large datasets to identify trends, patterns, and insights.
  • Create interactive and insightful data visualizations using Tableau.
  • Present data findings to stakeholders in a clear and concise manner.
  • Clean, transform, and preprocess data to ensure accuracy and reliability.
  • Develop and maintain data pipelines for efficient data flow and storage.
  • Ensure data integrity and perform quality checks on datasets.
  • Write efficient Python scripts for data manipulation, analysis, and automation.
  • Utilize Python libraries (e.g., Pandas, NumPy, Matplotlib) to perform advanced data analysis.
  • Collaborate with data engineers to integrate Python-based solutions into existing data infrastructure.
  • Work closely with cross-functional teams to understand their data needs and provide analytical support.
  • Assist in the development and implementation of data strategies and initiatives.
  • Provide training and support to team members on data tools and techniques.

Qualifications:
Required:
  • Bachelor's degree in related field.
  • 2-5 years of experience as a Data Analyst or in a similar role.
  • Proven experience with Tableau for data visualization.
  • Strong experience in data processing and cleaning.
  • Proficiency in Python for data analysis and scripting.
  • Excellent analytical and problem-solving skills.
  • Strong attention to detail and data accuracy.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.
  • Familiarity with SQL and database management systems.
  • Knowledge of statistical methods and techniques.
  • U.S. Citizenship required for security clearance purposes.
  • Ability to obtain and maintain a security clearance.

Desired:
  • Experience with other data visualization tools (e.g., Power BI, Looker).
  • Knowledge of machine learning algorithms and techniques.
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).

This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$69,600 - 142,700 USD
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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