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

Data Strategy & Governance -Director

Irvine, CA ยท On-site

$155K - $410K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... executive-level client relations while fostering an environment where innovation thrives. This role ...

Apply advanced analytics and predictive modeling to product sales, usage, and customer data to inform strategy, pricing, and growth * Create executive ready reports, and deep analyses that clearly ...

JOB SUMMARY: The Account Executive is responsible for driving revenue growth by identifying ... Data & Analytics, Artificial Intelligence (AI), Managed Services, and Innovation Services. The ...

Principal, Data Analytics

Irvine, CA ยท On-site

$116K - $197.20K/yr

The Principal, Data Analytics will play a critical role in developing advanced analytical and ... Exceptional storytelling and presentation skills, with the ability to build compelling executive ...

Product Analyst

Redlands, CA ยท On-site

$70.30K - $110.24K/yr

Apply advanced analytics and predictive modeling to product sales, usage, and customer data to inform strategy, pricing, and growth * Create executive ready reports, and deep analyses that clearly ...

Data Coordinator

Corona, CA ยท Hybrid

$22/hr

... executives or leadership teams Advanced Excel skills (pivot tables, data analysis, reporting ... dashboards) Experience handling confidential or sensitive information Personal Attributes Highly ...

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 ...

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Showing results 1-20

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 cities near Riverside, CA are hiring for Executive Data Analyst jobs? Cities near Riverside, CA with the most Executive Data Analyst job openings:
Advisor, Management Data Analysis

Advisor, Management Data Analysis

Hill International

Pomona, CA โ€ข Remote

$110K - $130K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Hill International is seeking an Advisor, Management Data Analysis in Pomona, Californiaย 

Hill International, with more than 4,300+ professionals in over 100 offices worldwide, provides program management, project management, construction management, project management oversight, advisory, facilities management, and other consulting services to clients in a variety of market sectors. Engineering News-Record magazine recently ranked Hill as one of the largest program management firms in the world. For more information on Hill, please visit our website at www.hillintl.com.

Hill is exclusively a program, project, and construction management provider, meaning we have one focus as a company: protecting client interests. Free of any potential conflicts, our entire business is geared towards helping clients achieve their desired outcomes. We are dedicated to exceeding expectations throughout the entire construction project lifecycle and adapt to the needs of each assignment to develop tailored approaches and solutions to meet those needs.

Hill is a GISI Consulting Group company, part of the Global Infrastructure Solutions, Inc. (GISI) family of companies. Learn more about GISI Consulting Group atย www.gisiconsulting.com.

Hill International is an Equal Opportunity Employer/Veteran/Disabled
Note:ย This job description is intended to provide an indication of the nature and levels of work, knowledge, skills, abilities and other essential functions to be carried out as part of fulfilling the role mentioned in the job title. Various other duties as required.

IER Right to Work Poster

E-Verify Participation Poster

  • A combination of education, training, and experience, generally equivalent to those typically possessed by a 4year college graduate (from accredited institution in applicable profession, business, or science/technology/engineering/math).ย 
  • Bachelor's degree in Computer Science, Information Systems/Technology, Data Analytics, or a related discipline, or equivalent combination of education, training, and experience.
  • 7+ years of experience designing and delivering data engineering solutions.
  • Experience using Microsoft Office, Business Intelligence tools, SAS, and SAP.
  • Expert level Excel skills, including Power Query.
  • Knowledge of utility business operations.
  • Advanced proficiency in SQL preferred.
  • Lean Six Sigma Black Belt certification preferred.
  • Must be local to Southern California.
  • Remote position; but requires frequent mandatory meetings in Pomona, CA.


    The salary range for this position is $110,000 - $130,000. The offered salary will be based on the applicants qualifications, education, experience and work location.

Depending upon your employment status, Hill's comprehensive benefits may include, Medical, Dental, Vision, Employer Paid Life and Accidental Death & Dismemberment Insurances, Business Travel Accident Insurance, Short-Term Disability, Long Term Disability, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Commuter Benefits, Legal Assistance, Identity Theft Protection, Pet Insurance, Auto & Home Insurance, Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Voluntary Life & Accidental Death & Dismemberment Insurance. Paid Time Off (PTO), Holidays, 401(K) Retirement Savings Plan, Employee Referral Program, Professional Certification Incentive Program, Hill University Learning and Development, Tuition Reimbursement, EAP, Years of Service Awards Program.

  • Apply advanced expertise in modeling, forecasting, and economic analysis, applying statistical, algorithmic, and economic methods to solve complex business problems and quantify performance.
  • Apply advanced experience to develop dashboards and visualization solutions using Power BI, Excel, SAS, and other BI tools.
  • Develop reports, metrics, insights, and executive ready narratives that translate analytical results into operational and strategic decision support.
  • Design, develop, and maintain end to end data engineering and data management solutions, including ETL, data modeling, data warehouses, and preparation of large, complex datasets for analytical and predictive use.
  • Understands the data to help identify patterns, trends, and opportunities to drive continuous improvement through process, upgrades, reporting features, and/or formats.
  • Conduct in-depth analysis of project data.
  • Create and maintain clear technical documentation and provide data and analytical support to executives, managers, and cross functional operational teams.
    ย