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

Sr. Data Engineer

Highland, CA · On-site

$113K - $136K/yr

The Senior Data Engineer leads complex data engineering projects, establishes data standards and ... Knowledge of data engineering, analytics, data governance, and enterprise data management ...

Data Analyst

Riverside, CA · On-site

$142K/yr

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:

Data Analyst

Riverside, CA · On-site

$142K/yr

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:

By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who ...

Role Overview We are seeking a junior to mid-level Data Analyst (2-7 years' experience) who thrives on solving puzzles and uncovering the "why" behind the data. This role is focused on analytics and ...

Responsible for data analysis related to AMO post-market product complaints and reporting on trends to ensure compliance to all applicable Corporate and Divisional policies and procedures.

Senior Data Engineer

Anaheim, CA · On-site

$111K - $150K/yr

Senior Data Engineer Location: Anaheim, CA (Hybrid - 2 to 3 days onsite per week) Duration:6+ ... Ability to analyze business requirements and translate them into scalable data solutions. * Strong ...

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 ... For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level ...

The Data Analyst III turns data into insights that inform decisions and drive profit. The Data ... For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level ...

The Data Analyst III turns data into insights that inform decisions and drive profit. The Data ... For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level ...

Showing results 21-40

Senior Data Analyst information

See Riverside, CA salary details

$57.4K

$103.5K

$141.4K

How much do senior data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior data analyst in Riverside, CA is $103,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $113,200.00 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 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.

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.

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.

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.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Riverside, CA? The most popular types of Data Analyst jobs in Riverside, CA are:
What are popular job titles related to Senior Data Analyst jobs in Riverside, CA? For Senior Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst jobs in Riverside, CA look for? The top searched job categories for Senior Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Senior Data Analyst jobs? Cities near Riverside, CA with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Riverside, CA as of July 2026, with employment types broken down into 91% Full Time, 2% Part Time, and 7% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $103,524 per year, or $49.8 per hour.

Senior Data Scientist Advisor

Southern California Edison (SCE)

Pomona, CA • On-site

$182K - $274K/yr

Full-time

Re-posted 24 days ago


Job description

Join the Clean Energy Revolution
Become a Senior Data Scientist Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll be responsible for advancing AI-powered vegetation management by driving the development and refinement of AI models that interpret complex remote sensing data. In addition to remote sensing-focused initiatives, the role will also contribute specialized data science expertise to broader vegetation management projects. By solving highly technical challenges, this role directly enables a more efficient and proactive approach to managing vegetation risk and protecting critical infrastructure.
As a Senior Data Scientist Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?
Responsibilities
  • Partners with stakeholders to understand business problems and objectives and translate them into data science solutions, providing thought leadership and creativity in solving unconventional problems.
  • Leads and provides direction to other analytic teams across the organization, spearheads development of highly complex predictive and prescriptive models to drive data insights.
  • Defines new data collection sources and methods and makes strategic recommendations for data practices (collection, preparation, quality).
  • Establishes standards and identifies techniques to solve data quality and integrity problems.
  • Leads development and maintenance of models, tools and methods for highly complex analytics problems.
  • Engages business OUs to solve critical issues and identify optimization opportunities, performs sophisticated analytics and translates into actionable insights.
  • Applies machine learning concepts and authors production-level code to provide innovative ideas and research to improve decision making.
  • Identifies opportunities to apply data science and predictive analytics to help solve the most critical business challenges.
  • Establishes scalable, automated processes for large-scale data analysis, modeling, validation and
  • Implementation.
  • Leverages relationships with data science individuals at other utilities and vendors and participate and present in relevant industry forums and groups to promote SCE's approach.
  • A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.

Minimum Qualifications
  • Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics.
  • Seven or more years of experience in data analytics related work. *PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit.

Preferred Qualifications
  • Master's or Ph.D. degree in computer science, statistics, mathematics, engineering, or a closely related science and engineering field.
  • Five or more years hands-on experience working in data science roles, including experience with machine learning algorithms, statistical modeling, and big data platforms.
  • Hands-on experiences with languages like Python, R, and SQL, as well as knowledge of cloud computing environments (e.g., AWS, Azure, Google Cloud), and familiarity with data visualization tools like Tableau or Power BI.
  • Experience evaluating and deploying artificial intelligence solutions into business processes.
  • Experience with LiDAR data, processing and modeling.
  • Strong executive communication skills, including building concise narratives and presenting insights to senior leadership; experience communicating to both technical and non-technical audiences).

Additional Information
  • This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.
  • Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
  • Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
  • The primary work location for this position is Pomona, CA. However, the successful candidate may also be asked to work for an extended amount of time at (alternate work location).
  • Position will require up to 10% local traveling and being out in the field throughout the SCE service territory.
  • This position has been identified as a NERC/CIP impacted position - Prior to being hired, the successful candidate must pass a Personnel Risk Assessment (PRA) or Background Investigation. Once hired, the candidate must complete specified training prior to gaining un-escorted access to assigned work location and performing necessary job duties.
  • Relocation may apply to this position.

About Southern California Edison
The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.
Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.
We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.