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

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

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

The Data Analyst II role involves executing data analysis projects, building and maintaining dashboards, and collaborating with stakeholders to provide data-driven insights. Responsibilities : • ...

The Data Analyst serves a key role within the administration of programs including, but not limited to, administering accurate data collection, providing and analyzing data and reports, monitoring ...

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 ...

We are seeking a detail-oriented and analytical Junior Data Analyst to join our team. This role is responsible for transforming raw data into actionable insights that support strategic decision ...

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Showing results 1-20

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 Jul 21, 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.

Is 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
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 July 2026, with employment types broken down into 87% Full Time, 2% Temporary, and 11% Contract. Highlights an 75% In-person, 10% Hybrid, and 15% Remote job distribution, with an average salary of $103,524 per year, or $49.8 per hour.
Senior Data Engineering & Analytics Lead

Senior Data Engineering & Analytics Lead

PM2CM

Pomona, CA • On-site, Remote

Full-time

Medical, Retirement

Posted 15 days ago


Job description

PM2CM, Inc., (Project Management to Construction Management) is a professional services company and certified SBE and DBE, dedicated to providing Program and Project Management, Construction Management and Project Controls services during the design and construction phase of projects. Our expertise is in Project Controls which includes Scheduling, Cost Controls, Document Management and Controls, Budget tracking and monitoring, Estimating, Risk Analysis, Claims avoidance and Mitigation, Change Management and Earned Value Management.
Our goal is simple: To offer and deliver the "best in class" project management, construction management and project controls services that allow our clients to build with confidence.
To achieve these objectives, we will strive to have a sound and complete understanding of the project scope and our client's corporate needs. We shall provide our services with integrity and stellar professionalism and hire the best qualified professionals.
This is a remote role with periodic in-person team meetings in Pomona, CA.
About the Role:
We are seeking an experienced Senior Data Engineering & Analytics Lead to drive data strategy, build scalable data infrastructure, and deliver actionable insights that support strategic decision-making across the organization.
Key Responsibilities:
  • Lead the design, development, and deployment of scalable data engineering solutions, including ETL, data modeling, and data pipeline architecture for large and complex datasets.
  • Apply advanced analytical and statistical methods to build forecasting, economic modeling, and performance analysis that solve complex business problems.
  • Develop intuitive dashboards and visual analytics using Power BI, Excel (Power Query), SAS, and other BI tools to support cross-functional stakeholders.
  • Translate analytical insights into clear reports, metrics, and executive-ready narratives that guide strategic operations and decisions.
  • Perform in-depth project data analysis and identify patterns, trends, and opportunities to improve processes and reporting capabilities.
  • Create and maintain robust technical documentation and deliver data support to leadership, operational teams, and business partners.
  • Collaborate with IT and business stakeholders to ensure data quality, reliability, and governance.

Requirements
Required Qualifications:
  • 7+ years of experience designing and delivering complex data engineering solutions.
  • Expert proficiency in Microsoft Office, advanced Excel (including Power Query), SAS, and SAP.
  • Experience with Business Intelligence tools for data visualization and analytics.
  • Strong analytical foundation with the ability to solve complex problems and translate them into business value.

Preferred Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent combination of education/experience).
  • Advanced proficiency in SQL.
  • Knowledge of utility business operations.
  • Lean Six Sigma Black Belt or equivalent certification.

Benefits
What We Offer:
  • Remote work flexibility with periodic in-person team meetings in Pomona, CA.
  • Opportunity to lead critical enterprise data initiatives and influence strategic decisions.

Benefits
100% paid health insurance, 401K match and profit sharing.

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About PM2CM

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Torrance, CA, US

Year founded

2014