5 customer data analyst jobs at 4 companies in Solana Beach, CA
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Sr Data Analyst, Customer Operations
San Francisco or Atlanta or Austin or Boston or Chicago or Dallas or Denver or Houston or Jacksonville or Los Angeles or Miami or New York City or Phoenix or Portland or Sacramento or Salt Lake City or San Diego or Seattle or Washington, D.C. or Ottawa or Toronto or Vancouver or Mexico City
$80k-$146k/yrHybridFull Time
Scribd, Inc.: AI-powered knowledge serving global readers, professionals, and learners through document, presentation, reading, and social book platforms.
4+ YOE4+ years in analytics/BI supporting customer-facing functions; strong SQL, Python, BI tools (Looker, Tableau); experience building retention, churn, forecasting models; statistics and experimental design; strong communication.
CGI Federal: U.S. technology and professional services serving federal agencies with IT consulting and mission solutions.
3+ YOERequires 3–4 years of relevant logistics experience, inventory management knowledge, inventory software proficiency, data analysis and quality assurance skills, customer-facing support, and ability to lift over 50 pounds.
Passive Radio Frequency Identification (pRFID), Enterprise Logistics Management System (ELMS), Defense Property Accountability System (DPAS)
Data Product Technical Support Specialist (Military Operations Analyst 2) - 29428
Coronado, California, United States
$66k-$97k/yrOnsiteFull Time
Mission TechnologiesNYSE: HII: Defense technology division delivering integrated all-domain solutions to defense, federal, and commercial customers.
2+ YOEActive Secret clearance, 2+ years relevant experience with a Bachelor’s (or equivalent experience), knowledge of Navy live training range M&O, NCTE networks, SIMDIS, strong customer service and real-time technical support skills, experience using AI for technical assistance.
PepsiCoNASDAQ: PEP: Multinational food and beverage.
Bachelor's degree in related field, intermediate Microsoft Excel, basic SAP desirable, availability for split shifts (6–10am and 3–7pm); support sales, manage customer database, track KPIs and incidents.