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Data Analytics Jobs in Colton, CA (NOW HIRING)

... 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 ...

Data Analyst

Riverside, CA · On-site

$142K/yr

... 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 ...

... 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 ...

BUSINESS DATA ANALYST 2

Norco, CA · On-site

$88K - $120K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related field. * 2 to 6 years of experience as a Data Analyst or in a ...

BUSINESS DATA ANALYST 1

Norco, CA · On-site

$33.17 - $42.31/hr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related field. * 1-3 years of experience in data analysis or a related ...

... 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 ...

By means of data visualization, statistical analysis, and reporting, you will directly engage ... For someone who enjoys statistics, enjoys solving issues, and enjoys using analytics to provide ...

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Data Analytics information

See Colton, CA salary details

$25

$55

$96

How much do data analytics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data analytics in Colton, CA is $55.94, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $63.37 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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

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

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

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

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

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

Infographic showing various Data Analytics job openings in Colton, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,352 per year, or $55.9 per hour.

$142K/yr

Full-time

Medical, Retirement, PTO

Re-posted 8 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.