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Senior Data Analyst Jobs in Rialto, CA (NOW HIRING)

Sr. Data Engineer Specialist

Brea, CA · On-site

$80K - $95K/yr

Develop processes to clean, standardize, and transform raw data into analysis-ready datasets. * Implement data validation and quality checks to ensure accuracy and consistency. * Optimize data ...

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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The Sr. Compliance Analyst partners closely with Compliance leadership to ensure effective program execution, drives data integrity and reporting enhancements, leads investigations and corrective ...

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Senior Data Analyst information

See Rialto, CA salary details

$55.2K

$99.5K

$135.9K

How much do senior data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for senior data analyst in Rialto, CA is $99,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,200.00 and $108,800.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
More about Senior Data Analyst jobs

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

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

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

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

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

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

Infographic showing various Senior Data Analyst job openings in Rialto, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $99,506 per year, or $47.8 per hour.

Sr. Data Engineer Specialist

SAMYANG AMERICA INC

Brea, CA • On-site

$80K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

About Samyang America

Samyang America stands as the #1 Gen Z brand, boldly shaping the future of food culture with innovative flavors, viral trends, and unforgettable brand experiences. We don’t just create food - we craft moments that spark excitement, inspire connection, and celebrate bold individuality.

Our mission is to bring daring, delicious products to the market that resonate deeply with the next generation of food lovers. From iconic spicy noodles to creative new launches, we are driven by passion, creativity, and a commitment to pushing the boundaries of taste and culture.

At Samyang America, you’ll join a dynamic team that thrives on innovation, collaboration, and a shared love for bold flavor experiences. We value fresh ideas, energetic spirit, and the courage to lead trends rather than follow them.


If you’re ready to be part of a brand that’s more than just food - a brand that moves culture and creates unforgettable moments - join our team today!

Position Summary:

The Data Engineer will be responsible for building and maintaining the data pipelines and infrastructure that power Samyang America’s enterprise data platform.

This role focuses on developing reliable, scalable, and efficient data workflows that ingest, transform, and deliver data for analytics, reporting, and AI applications.

Key Responsibilities:

Data Pipeline Development

  • Build and maintain ETL/ELT pipelines to ingest data from multiple sources:

    • ERP, CRM, marketing platforms

    • Financial systems

    • External data sources

  • Ensure pipelines are robust, scalable, and optimized for performance.

Data Transformation & Processing

  • Develop processes to clean, standardize, and transform raw data into analysis-ready datasets.

  • Implement data validation and quality checks to ensure accuracy and consistency.

  • Optimize data workflows for efficiency and cost.

Data Platform Support

  • Support the implementation and operation of the enterprise data lake and analytics platform.

  • Collaborate with external vendor teams on platform build and enhancements.

  • Monitor system performance and troubleshoot issues as needed.

Collaboration with Architecture & Analytics

  • Work closely with the Data Architect to implement data models and standards.

  • Partner with Analytics and AI teams to ensure data is delivered in formats that support business use cases and modeling.

  • Enable faster access to data for business users and analysts.

Requirements:

  • 3–6+ years of experience in data engineering or data pipeline development.

  • Strong proficiency in SQL and at least one programming language (Python preferred).

  • Experience building ETL/ELT pipelines and data workflows.

  • Familiarity with cloud platforms (AWS, Azure, or GCP).

Preferred:

  • Experience with tools such as Airflow, dbt, Spark, or similar.

  • Experience with modern data platforms (Snowflake, Databricks, etc.).

  • Exposure to real-time data processing or streaming systems.

  • Experience working with business data (sales, marketing, finance, etc.).

Leadership Attributes

  • Builder mindset – enjoys creating systems from the ground up

  • Problem solver – quickly identifies and resolves technical issues

  • Execution-focused – delivers reliable and scalable solutions

  • Team player – collaborates effectively across functions

The base salary for this position is between $80,000.00 and $95,000.00 per year. Actual compensation will depend on a variety of factors, including qualifications, experience, and location. This position may also be eligible for additional compensation and benefits, including an annual incentive bonus, medical/dental/vision insurance, life insurance, PTO/FTO, and a 401(k) plan with company match.


Equal Employment Opportunity Employer:

Samyang America is committed to providing equal employment opportunities to all individuals. We do not discriminate in employment decisions on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other status protected by applicable federal, state, or local laws.