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

We are working with a growing technology company that is looking to add a Data Analyst to their team. This role will support product development, data operations, and emerging AI-focused initiatives ...

Data Analyst

Santa Ana, CA · On-site

$79K - $124K/yr

To thrive as a Data Analyst, you'll use a strong analytical approach. You will turn complex data into clear, actionable insights that support hard-working business and sales decisions. In this role ...

We are working with a growing technology company that is looking to add a Data Analyst to their team. This role will support product development, data operations, and emerging AI-focused initiatives ...

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.

Data Analyst Location: 5 days on-site in St. Louis, MO Duration: Direct-hire Opportunity What You Will Do Monitor various inboxes and address the needs of our internal customer base, primarily sales ...

Data Analyst Location: 5 days on-site in St. Louis, MO Duration: Direct-hire Opportunity What You Will Do Monitor various inboxes and address the needs of our internal customer base, primarily sales ...

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

Job Title: Sr. Data Scientist Posting Start Date: 6/3/26 Job Location(s): Irvine If you are looking ... Predictive analytics for yield and quality improvement * Optimization of circuit or device ...

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? Field AI is transforming how robots interact with the real world. We are building risk-aware ...

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware ...

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware ...

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring operational data is accurate and actionable. Responsibilities : • Validate ...

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring that operational data is accurate and actionable. Responsibilities : • Validate ...

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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 Jun 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 are Senior Data Analysts?

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.
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 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 June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $103,524 per year, or $49.8 per hour.

Data Analyst

OMEGA INCOME TAX SERVICE

San Bernardino, CA • On-site

Other

Posted 29 days ago


Job description

  • Data Analysts collect data, income and expenses, are able to gathers, cleans, and studies data sets to help solve problems. ... A data analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem work encompasses several duties and responsibilities, including
  • Work with executives and other business leaders to identify opportunities for improvement
  • Create reports for internal teams and/or external clients
  • Collaborate with team members to collect and analyze data
  • Use graphs, infographics and other methods to visualize data
  • Establish KPIs to measure the effectiveness of business decisions
  • Structure large data sets to find usable information
  • Work with a team of analysts and other associates to process information
  • Create presentations and reports based on recommendations and findings
  • english and spanish speaking
  • sales experience could help
  • Essentially, the 3 important qualities of customer service center around three: professionalism, patience, and a “people-first” attitude. Although customer service varies from customer to customer

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