426 Engineer Data Clinical Analytics jobs in Los Angeles,CA

Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer
Preferably Databricks certified
Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university
Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks) and experience with (preferably driving) technical workshops with technical and business clients to derive value added services and implementations
Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms
Experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
Hands-on technical experience with SQL and Apache Spark
Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future and travel as needed

Raytheon

Los Angeles, CA 90079

Disneyland Resort Careers

Anaheim, CA 92804

Azusa Pacific University

Azusa, CA 91702

Cox Automotive

Stanton, CA 90680

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