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Assistant Data Analyst Training Jobs in Riverside, CA

Provide data-driven recommendations to improve player retention and acquisition. * Assist in ... Any combination of education, experience and training that provides the required knowledge, skills ...

Leverage operating systems and third-party software, to assist in the management of digital sales ... The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training ...

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ... To succeed in this position, you should have expert-level financial reasoning and formal training ...

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ... To succeed in this position, you should have expert-level financial reasoning and formal training ...

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ... To succeed in this position, you should have expert-level financial reasoning and formal training ...

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ... To succeed in this position, you should have expert-level financial reasoning and formal training ...

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ... To succeed in this position, you should have expert-level financial reasoning and formal training ...

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ... To succeed in this position, you should have expert-level financial reasoning and formal training ...

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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 14, 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.
Operations Data & Financial Analyst

Operations Data & Financial Analyst

Skechers

Rancho Cucamonga, CA • On-site

Full-time

Re-posted 24 days ago


Skechers rating

6.4

Company rating: 6.4 out of 10

Based on 167 frontline employees who took The Breakroom Quiz

39th of 57 rated fashion and textile manufacturers


Job description

Job Summary:
Skechers is a global Fortune 500® company that develops and markets a diverse range of lifestyle and performance footwear, apparel, and accessories. The Operations Data & Financial Analyst will deliver data-driven insights and develop reporting solutions to support operational and financial decision-making.
Responsibilities:
• Design, build, and maintain dashboards and reports in Power BI and Excel to include advanced formulas and automation
• Extract, transform, and analyze large datasets using SQL including joins, CTEs, and query optimization, and DAX to support business and financial needs
• Develop and maintain analytical and financial models for forecasting, labor planning, cost analysis, KPI tracking, and performance analysis.
• Proactively identify trends, anomalies, cost drivers, and opportunities to improve operational and financial performance.
• Ensure all reporting is accurate, timely, and structured for clarity and usability across technical and non-technical audiences, including financial stakeholders
• Continuously improve reporting frameworks to enhance efficiency, scalability, and visual effectiveness
• Collaborate with cross-functional stakeholders to understand business and financial needs and translate them into analytical solutions
• Deliver actionable insights that support both day-to-day operations and financial/strategic decision-making
• Support recurring executive reporting, including KPI summaries, financial performance insights, and QBR materials
• Identify and implement opportunities to streamline manual processes through automation and improved data workflows
• Contribute to the development and standardization of datasets, metrics, and reporting structures, including financial definitions where applicable
• Support data quality initiatives, ensuring consistency, accuracy, and reliability across all outputs
• Validate data sources and outputs to maintain high standards of accuracy, integrity, and financial reliability
• Document data definitions, logic, and reporting methodologies to ensure transparency and repeatability
• Assist in maintaining structured and scalable data environments for reporting and analysis
• Proactively analyze and interpret database tables and fields to ensure data completeness and integrity
Qualifications:
Required:
• Bachelor’s degree or higher in Data Analytics, Supply Chain Management, Finance, Economics, Business Administration or closely related field.
• Great analytical, critical thinking and problem-solving abilities
• Strong management, communication, and organizational skills
• Adaptable and capable of working in a fast-paced environment
• Competency in Microsoft applications including Word, Excel, and Outlook.
• Two or more years of analyst experience
Company:
Skechers is a Fortune 500® company — a growth-oriented brand that designs, develops, and markets a diverse product portfolio of lifestyle and performance footwear, apparel and accessories for men, women and children around the globe. Founded in 1992, the company is headquartered in Manhattan Beach, USA, with a team of 10001+ employees. The company is currently Late Stage.

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