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Assistant Data Analyst Training Jobs in Riverside, CA

Data Analyst

Riverside, CA · On-site

$142K/yr

... * 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:

... * 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:

Prepare or assist department leadership with monthly trending reports, annual post-market ... Qualifications Minimum Education, Experience and Training Required: Bachelor's degree in a sciences ...

DATA ANALYST 1

Norco, CA · On-site

$33.17 - $42.31/hr

This position will assist with transforming operational and business data into clear reports ... Provide support and training to users on approved data tools and reports. * Collaborate with ...

This position will assist with transforming operational and business data into clear reports ... Provide support and training to users on approved data tools and reports. * Collaborate with ...

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

... assist in decision-making. * Assist in the development and implementation of data collection ... Conduct ad-hoc analysis and reporting as needed to support various business initiatives. * Stay ...

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

... assist in decision-making. * Assist in the development and implementation of data collection ... Conduct ad-hoc analysis and reporting as needed to support various business initiatives. * Stay ...

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

... assist in decision-making. * Assist in the development and implementation of data collection ... Conduct ad-hoc analysis and reporting as needed to support various business initiatives. * Stay ...

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

... 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: • ...

BUSINESS DATA ANALYST 2

Norco, CA · On-site

$88K - $120K/yr

... needs. * Assist with developing and improving data-reporting processes and standards. * Document analytical methods, data sources, calculations, and reporting procedures. * Provide training and ...

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic ... Assist in identifying recurring operational problems from data. • Provide validated datasets to ...

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic ... Assist in identifying recurring operational problems from data. • Provide validated datasets to ...

Data Analyst III

Irvine, CA · On-site

$92K - $143K/yr

The Data Analyst III turns data into insights that inform decisions and drive profit. The Data ... travel to Irvine, CA for training within first 30 days of hire. ESSENTIAL FUNCTIONS ...

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Assistant Data Analyst Training information

See Riverside, CA salary details

$29.2K

$74.8K

$142.9K

How much do assistant data analyst training jobs pay per year?

As of Jul 31, 2026, the average yearly pay for assistant data analyst training in Riverside, CA is $74,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $87,100.00 per year, depending on experience, location, and employer.

Can I be a data analyst with no experience?

Becoming a data analyst typically requires some knowledge of data analysis tools like Excel, SQL, or Python, but many entry-level positions are open to candidates with little to no experience if they demonstrate strong analytical skills and a willingness to learn. Completing relevant training or certifications can improve your chances of starting a data analyst role without prior experience.

What is the difference between Assistant Data Analyst Training vs Data Analyst?

AspectAssistant Data Analyst TrainingData Analyst
Required CredentialsBasic certifications, training programsBachelor's degree in related field, certifications
Work EnvironmentEntry-level, supervised tasks, training settingsFull responsibilities, independent analysis
Employer UsageTraining programs, internships, entry rolesFull-time analyst roles in various industries
Search & Comparison IntentLearning path, entry-level roles, training optionsCareer advancement, job requirements, skills needed

Assistant Data Analyst Training focuses on preparing individuals with foundational skills through courses and internships, while Data Analyst roles involve performing independent data analysis tasks in professional settings. Training is ideal for beginners, whereas Data Analyst positions require more experience and technical expertise.

What are some common challenges faced by Assistant Data Analysts during their training period, and how can they overcome them?

Assistant Data Analysts in training often encounter challenges such as adapting to new data analysis tools, understanding complex datasets, and translating business requirements into actionable insights. It's common to feel overwhelmed by the variety of data sources and the technical skills required, such as proficiency in Excel, SQL, or visualization tools. Overcoming these hurdles typically involves proactively seeking mentorship, participating in team discussions, and consistently practicing with real datasets to build confidence and competence. Collaborating closely with senior analysts and asking clarifying questions can significantly accelerate the learning process.

Is a data analyst still worth it in 2026?

A data analyst remains a valuable role in 2026 as organizations continue to rely on data-driven decision-making. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI are essential, and demand is expected to stay strong due to increasing data volumes across industries.

Is 40 too late for data science?

For an Assistant Data Analyst training program, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in life by gaining relevant skills such as SQL, Python, and data visualization, often through online courses or certifications. Experience, continuous learning, and building a portfolio are key factors for career progression regardless of age.

What is an Assistant Data Analyst Training program?

An Assistant Data Analyst Training program is a structured course or series of workshops designed to teach foundational data analysis skills. Participants learn how to collect, organize, and interpret data using tools such as Excel, SQL, and data visualization software. The training often covers basic statistics, data cleaning, and reporting techniques to prepare individuals for entry-level roles as data analysts. These programs are suitable for beginners and those looking to transition into data-related fields.

What are the key skills and qualifications needed to thrive as an Assistant Data Analyst in training, and why are they important?

To thrive as an Assistant Data Analyst in training, you need a solid grounding in statistics, data interpretation, and a relevant educational background such as a degree in mathematics, statistics, or computer science. Familiarity with tools like Excel, SQL, and data visualization software, as well as basic knowledge of programming languages like Python or R, is highly beneficial. Attention to detail, analytical thinking, and effective communication are critical soft skills for interpreting data and collaborating with teams. These skills ensure accurate data analysis, meaningful insights, and clear reporting, which are essential for supporting organizational decision-making.

What training is needed to be a data analyst?

To become a data analyst, relevant training typically includes a bachelor's degree in fields like statistics, mathematics, or computer science. Additionally, proficiency in data analysis tools such as Excel, SQL, and programming languages like Python or R, along with knowledge of data visualization and statistical methods, is essential. Certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist can also enhance qualifications.
What cities near Riverside, CA are hiring for Assistant Data Analyst Training jobs? Cities near Riverside, CA with the most Assistant Data Analyst Training job openings:
Infographic showing various Assistant Data Analyst Training job openings in Riverside, CA as of July 2026, with employment types broken down into 2% Internship, 62% Full Time, 26% Part Time, 4% Temporary, 4% Contract, and 2% Nights. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $74,774 per year, or $35.9 per hour.

$142K/yr

Full-time

Medical, Retirement, PTO

Re-posted 17 hours 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.