Senior Data Analyst Jobs in Riverside, CA (341)
Sr. Digital / Web Platform Business Analyst
Senior Data Analyst (ETL Matillion)
Project Surveyor
Impact Analytics Lead, Research & Economic Development
Senior AR Analyst - Data-Driven Cash Flow
Loss Prevention Analyst
SAP Analyst
Senior Business Analyst - Data & Analytics
BUSINESS SYSTEMS ANALYST
Remote Finance Analyst: Data-Driven Impact
SAP Project Manager-CA
SAP S/4HANA Upgrade Project Lead
Data Scientist for Analytics (Engineer/Scientist Support) Norco, CA, US
Data Scientist for Analytics (Engineer/Scientist Support)
Gas Operations Supervisor
SR PROCUREMENT & MATERIAL PLANNER in Fontana
Senior Research Data Analyst Drive Impact with Data
Senior Data Analyst
Senior Data & Analytics Analyst - BI, ERP & Insights
Senior BI & Analytics Analyst Dashboards, ERP & Data
Senior Data Analyst (Hybrid) - Toronto, 6+ Month Contract
Data Analyst Project Lead
Principal Global Sourcing Analyst, Apparel
Senior Strategy & Growth Analyst Corporate Impact
Senior Data Analyst & Data Governance Lead (Remote)
Senior Operations Data & Process Analyst
Senior Data Analyst - Epidemiology & Cohort Research
Senior Data Analyst Hybrid, Actionable Project Insights
Senior Business Intelligence (BI) and Data Warehouse Analyst
Senior Power BI Developer - Healthcare Analytics (Onsite)
Gas Operations Lead: Optimize Safety & Efficiency
Sr Enterprise Business Services Analyst
Senior Data Analyst - Lead Data & AI (Remote)
Senior Data Analyst Salary in Riverside
Senior Data Analysts working in Riverside, CA make an average annual salary of $96K and a maximum annual salary of around $157K.
Job Description
Working as a Senior Data Analyst in Riverside, CA
There are 341 Senior Data Analyst opportunities available in Riverside, CA all with unique requirements.
The Senior Data Analyst develops the overall data strategy for an organization. They administer the change management process for all of a company's data sources, handling everything from raw data to production reporting. They may build new data models to validate experimental hypotheses and ensure the correct interpretation of results. As the final decision-maker on methodology and analysis paths, their work typically influences every level of an organization.
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