824 Product Analytics Engineer jobs in Los Angeles,CA

Marketing Manager, Enterprise Applications Portfolio

KARL STORZ Endoscopy - America

El Segundo, CA 90245

Mosaic North America

Burbank, CA 91502

Must be able to lift 50 lbs
Must have own vehicle to transport equipment (all equipment can fit in standard trunk.
Proven Over-Performer: A strong background in sales with a historical track record of exceeding quotas and KPIs.

Apex Focus Group

Beverly Hills, CA 90211

BrainTrust

Los Angeles, CA 90001

KPMG

Los Angeles, CA 90021

Minimum three years of recent experience in application penetration testing of Application Programming Interface (API's), web applications, or mobile applications
Bachelor's degree from an accredited college/university or equivalent industry experience
Ability to communicate reporting results with technical and non-technical audiences and lead remediation conversations
Experience with burp suite pro, and other app testing tools such as Netsparker and Checkmarx
One or more major ethical hacking certifications not required but preferred; GIAC Web Application Penetration Tester (GWAPT), Council for Registered Ethical Security Testers (CREST), Offensive Security Web Expert (OSWE), Offensive Security Web Assessor (OSWA)
Ability to travel as required
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

Cox Automotive

Cypress, CA 90630

8+ years in an analytics-focused role, preferably in digital marketing analytics and web/site analysis
Bachelor's degree required
Master's preferred in Analytics, Marketing, Economics, Finance, Statistics, Mathematics, or related quantitative field
Advanced SQL proficiency: Ability to independently write complex queries to extract, transform, and analyze data in response to ad-hoc client questions
Intermediate to advanced experience with data warehousing platforms (Snowflake, BigQuery, Redshift, Hadoop/Hive)
Proficiency with BI and visualization tools (Power BI, Tableau, Google Data Studio, MicroStrategy)
Ability to perform statistical analysis (descriptive, variance, regression, probability) with general understanding of advanced statistical methods
Proven ability to condense complex analysis into executive-ready presentations that drive business decisions
Strong consultative skills with demonstrated ability to influence stakeholders as a subject matter expert
Experience anticipating stakeholder needs and delivering proactive insights that build thought leadership partnerships
Excellent organizational skills with ability to manage multiple priorities in a deadline-driven environment