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

OMEGA INCOME TAX SERVICE

Data Analyst

San Bernardino, CA · On-site

* Data Analysts collect data, income and expenses, are able to gathers, cleans, and studies data sets ... Work with executives and other business leaders to identify opportunities for improvement * Create ...

Behr Paint Company

Data Analyst

Santa Ana, CA · On-site

$79.10K - $124.08K/yr

Analyze and aggregate sales data from different sources to deliver actionable insights, performance reporting, and executive-level decision support. * Ensure data accuracy and integrity by ...

Restaurant365

Principal Data Analyst - GTM

Irvine, CA · On-site +1

$116K - $174K/yr

Lead end-to-end analytical projects from initial hypothesis to executive presentation. Work independently to solve data gaps and process inefficiencies. * Storytelling with Data: Translate complex ...

Canopy A&D

ERP Data Analyst

Riverside, CA · On-site

$150K - $175K/yr

The ERP Data Analyst supports and optimizes the Proshop ND -> Epicor ERP system migration within an ... Provide accurate and timely operational, financial, and executive-level reporting to support ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · Hybrid

$69.30K - $103.77K/yr

Analyze internal program usage (credit/discount programs) and perform ROI modeling to identify business opportunities - Executive Summaries: Consolidate data from disparate sources to provide "big ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · Hybrid

$69.30K - $103.77K/yr

Analyze internal program usage (credit/discount programs) and perform ROI modeling to identify business opportunities - Executive Summaries: Consolidate data from disparate sources to provide "big ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · Hybrid

$69.30K - $103.77K/yr

Analyze internal program usage (credit/discount programs) and perform ROI modeling to identify business opportunities - Executive Summaries: Consolidate data from disparate sources to provide "big ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · On-site

$69.30K - $103.77K/yr

Analyze internal program usage (credit/discount programs) and perform ROI modeling to identify business opportunities - Executive Summaries: Consolidate data from disparate sources to provide "big ...

Canopy A&D

ERP Data Analyst

Riverside, CA

$150K - $175K/yr

Provide accurate and timely operational, financial, and executive-level reporting to support ... Fulfill ad hoc data requests and conduct detailed analytical reviews to support business ...

Canopy A&D

ERP Data Analyst

Riverside, CA

The ERP Data Analyst supports and optimizes the Proshop ND -> Epicor ERP system migration within an ... Provide accurate and timely operational, financial, and executive-level reporting to support ...

Pwc

Data Strategy-Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

... executive stakeholders to influence data governance practices - Analyze complex data sets to identify growth opportunities and insights - Implement recommended practices in data management and ...

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Executive Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do executive data analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for executive data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Executive Data Analyst, and why are they important?

To thrive as an Executive Data Analyst, you need expertise in data analysis, statistical modeling, and business intelligence, often supported by a bachelor's or master's degree in a quantitative field. Proficiency with tools like SQL, Python, R, and advanced data visualization platforms such as Tableau or Power BI is typically required, along with relevant certifications. Strong communication, critical thinking, and presentation skills help you translate complex data insights for executive decision-makers. These skills are crucial for driving strategic initiatives and enabling data-driven decision-making at the highest organizational levels.

What are some common challenges Executive Data Analysts face when presenting insights to senior leadership?

Executive Data Analysts often encounter the challenge of translating complex data findings into clear, actionable insights for senior leadership. Communicating technical results in a concise and strategic manner, tailored to high-level business goals, requires strong storytelling and visualization skills. Additionally, balancing the need for data accuracy with tight deadlines and shifting priorities can be demanding. Collaborating closely with cross-functional teams, such as finance and operations, is essential to ensure recommendations are aligned with organizational objectives.

What are Executive Data Analysts?

Executive Data Analysts are highly skilled professionals who collect, analyze, and interpret complex data to support strategic decision-making at the executive level. They transform raw data into actionable insights, often preparing reports and presentations for senior leadership. Their work helps organizations identify trends, forecast outcomes, and make data-driven decisions that align with business goals. Executive Data Analysts typically have strong analytical, technical, and communication skills, and frequently collaborate with executives, managers, and other stakeholders.

Is a data analyst dead in 10 years?

Data analysts, including executive data analysts, are expected to remain valuable as organizations continue to rely on data-driven decision-making. However, they will need to adapt by developing skills in advanced analytics, machine learning, and data visualization tools to stay relevant in a changing technological landscape.

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

AspectExecutive Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, business, or related field; often certifications in data toolsBachelor's or master's in data science, statistics, or related; often advanced certifications
Work EnvironmentCorporate offices, business units, analytics teamsResearch labs, tech companies, analytics teams
Employer & Industry UsageBusiness, finance, marketing, healthcareTech, finance, e-commerce, research
Common Search & ComparisonYesYes

Executive Data Analysts focus on interpreting data to support business decisions, often with a managerial perspective. Data Scientists develop complex models and algorithms for predictive analytics. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and education. The roles overlap in data analysis but differ in scope and technical depth.

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 Executive Data Analyst jobs in Riverside, CA? For Executive Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Executive Data Analyst jobs in Riverside, CA look for? The top searched job categories for Executive Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Executive Data Analyst jobs? Cities near Riverside, CA with the most Executive Data Analyst job openings:
Executive Data Analyst jobs near you

Data Analyst

OMEGA INCOME TAX SERVICE

San Bernardino, CA • On-site

Other

Posted 17 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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