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Data Analytics Jobs in Colton, CA (NOW HIRING)

DATA SCIENTIST II

Norco, CA · On-site

$115 - $130/hr

In this role, you will apply advanced data analytics and machine learning techniques to explore large, complex datasets for unknown trends and patterns regarding customer behavior, product ...

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

In this role, you will apply advanced data analytics and machine learning techniques to explore large, complex datasets for unknown trends and patterns regarding customer behavior, product ...

Assoc Analyst Business

Upland, CA · On-site

$70K - $80K/yr

The successful candidate will have experience with business intelligence tools, financial and operational reporting, and data analytics. Construction industry experience is preferred but not required.

New

Advanced data analysis and modeling. Design and maintain scalable marketing data models that support segmentation, personalization, prioritization, and performance measurement. Apply advanced ...

Apply advanced analytical techniques to analyze campaign performance, identify trends, and inform targeting, investment, and go‑to‑market decisions. • Data quality, enrichment & governance.

Manage nationwide first-mile pickup ops & logistics workflows via TMS/WMS, data analytics & SOPs. * Master's degree in Supply Chain Management or a related field; * plus 12-monthe experience in ...

Showing results 21-40

Data Analytics information

See Colton, CA salary details

$25

$55

$96

How much do data analytics jobs pay per hour?

As of Aug 12, 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 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, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

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.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

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.

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.

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 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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $116,352 per year, or $55.9 per hour.

DATA SCIENTIST II

VSolvit, LLC.

Norco, CA • On-site

$115 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

DATA SCIENTIST II

Full Time VS CA NORCO, Norco, CA, US

7 days ago Requisition ID: 1577

Salary Range: $115,000.00 To $130,000.00 Annually

Data Scientist II

On Site: Norco, CA

Job Summary

We are seeking a talented and driven mid-level Data Scientist to join our evolving and dynamic team. In this role, you will apply advanced data analytics and machine learning techniques to explore large, complex datasets for unknown trends and patterns regarding customer behavior, product performance, and operation efficiency to develop predictive models and support decision-making processes while adhering to the highest standards of security and confidentiality. You have a unique talent for finding answers to questions our customers never thought to ask by analyzing data in new ways. to solve complex problems in a variety of domains.

As with any position, additional expectations exist. Some of these are, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), and staying focused on the assigned tasks including company meetings, and completing other tasks as assigned.

Responsibilities
  • Analyze large and complex datasets to extract actionable insights that will inform business strategies and decisions
  • Develop, implement, and maintain predictive models and machine learning algorithms
  • Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
  • Use statistical methods, data mining, and machine learning to uncover trends and patterns within the data
  • Prepare reports and presentations that effectively communicate your findings to both technical and non-technical stakeholders
  • Ensure compliance with all security protocols and confidentiality requirements, adhering to industry standards and internal policies
  • Support senior leadership in strategic decision-making through advanced data-driven insights
  • Stay up-to-date with the latest developments in data science, machine learning, and related fields
  • Provide technical guidance and mentorship to junior data scientists and analysts
Basic Qualifications

Ability to obtain Secret Security Clearance

  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field
  • Two to five years of experience as a Data Scientist or in a related data analysis role
  • Proficiency in Python, R, or similar programming languages for data analysis
  • Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Knowledge of SQL and experience with relational databases
  • Machine Learning experience
  • Working knowledge and familiarity with data visualization tools like Tableau, Power BI, or similar
  • Solid understanding of statistical modeling, hypothesis testing, and data-driven decision-making
  • Excellent communication skills, with the ability to present technical findings to non-technical stakeholder
  • Experience working with Atlassian product and project management tools (Jira, Confluence)
  • If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment is offered
Preferred Skills and Qualifications
  • Experience working with classified government data or in a defense-related environment
  • Familiarity with cloud platforms (AWS, Azure, etc.) and data processing tools
  • Continued education and knowledge of current and emerging AL/ML technologies (e.g., Hadoop, Spark)
  • Experience with DevOps practices and version control (Git, GitHub)
  • Strong problem-solving skills and ability to work in a fast-paced environment
Company Summary

Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team.

VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.

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