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Top Hybrid Data & Analytics Jobs in Los Angeles, CA

Reposted 6 Hours AgoSaved
Hybrid
7 Locations
50K-120K
Senior level
50K-120K
Senior level
Insurance • Cybersecurity
As the Data Engineering Lead, you will develop and maintain data pipelines and infrastructure, ensuring data integration and quality, while mentoring junior engineers and collaborating with cross-functional teams.
Top Skills: AWSDagsterDbtJavaScriptPythonSnowflakeSQLTypescript
Reposted YesterdaySaved
Hybrid
6 Locations
93K-109K Annually
Mid level
93K-109K Annually
Mid level
Cloud • Professional Services • Security • Analytics • Consulting • Utilities • Renewable Energy
The Data Engineer will develop data ingestion pipelines, work on data quality rules, and ensure accurate reporting and integration by collaborating with clients and teams.
Top Skills: Aws GlueAzure Data FactoryAzure SynapseDatabricksHadoopIbm DatastageInformaticaKafkaKinesisLambdaOraclePower BIRedshiftSnowflakeSparkSQLTableauTalend
3 Days AgoSaved
Hybrid
Playa Vista, CA, USA
Expert/Leader
Expert/Leader
AdTech • Marketing Tech
The VP of Analytics leads the analytics team, develops strategies for marketing campaigns, and translates complex data into actionable insights for clients and stakeholders.
Top Skills: Adobe AnalyticsGoogle AnalyticsLookerPower BIPythonRSQLTableau

Featured Jobs

4 Days AgoSaved
Hybrid
Los Angeles, CA, USA
140K-175K
Senior level
140K-175K
Senior level
Big Data • Digital Media • Music • Software • Analytics
The Senior Data Engineer will work on building data insights and predictive analytics, maintaining the cloud-native data platform for the entertainment industry and ensuring high-quality software delivery.
Top Skills: AirflowAPIsAWSGithub ActionsMicroservicesPythonSQLTerraform
4 Days AgoSaved
Easy Apply
Hybrid
Santa Monica, CA, USA
Easy Apply
120K-150K
Senior level
120K-150K
Senior level
eCommerce • Fashion • Retail • Social Impact • Design
Manage data analytics team, partner with Marketing to drive data-driven strategies, enhance marketing measurement, and lead incrementality testing efforts.
Top Skills: BigQueryGoogle Data StudioLookerPythonRSnowflakeSQLTableau
6 Days AgoSaved
Hybrid
Los Angeles, CA, USA
200K-275K Annually
Senior level
200K-275K Annually
Senior level
Events • Mobile
As a Senior Data Scientist, you will lead model development, utilizing machine learning to drive business decisions, while mentoring junior team members and collaborating with stakeholders.
Top Skills: AWSAzureBigQueryDatabricksNumpyPandasPythonRScikit-LearnScipySnowflakeSparksqlSQL
8 Days AgoSaved
Hybrid
Los Angeles, CA, USA
160K-210K
Senior level
160K-210K
Senior level
Fintech • Information Technology • Machine Learning • Marketing Tech • Software • Business Intelligence • Big Data Analytics
The Senior Data/ML Engineer will design and maintain data products, build scalable data pipelines, and collaborate with teams to enhance business intelligence.
Top Skills: DagsterDatabricks SqlLakefsMlflowPyspark
9 Days AgoSaved
Hybrid
Torrance, CA, USA
136K-162K Annually
Senior level
136K-162K Annually
Senior level
Aerospace • Hardware • Machine Learning • Robotics • Software
The Principal Data Engineer will design, implement, and manage data integration processes, leveraging Oracle Cloud and ETL pipelines for enterprise systems.
Top Skills: Analytics CloudETLJIRAMesOracle Analytics CloudOracle Autonomous DatabaseOracle Cloud InfrastructureOracle ErpOracle Integration CloudPalantir FoundryPdmPower BIPythonSQLTableau
10 Days AgoSaved
Hybrid
Los Angeles, CA, USA
80K-95K
Mid level
80K-95K
Mid level
AdTech • Big Data • Digital Media • Information Technology • Marketing Tech
As a Research and Insights Manager, you will coordinate research projects, analyze data, and present actionable insights to clients while collaborating with internal teams on advertising effectiveness.
Top Skills: ComscoreEmarketerGwi
12 Days AgoSaved
Hybrid
Los Angeles, CA, USA
Senior level
Senior level
Fintech • Software • Financial Services
The role involves designing scalable data platforms, collaborating with hardware engineers, defining standards, and ensuring effective data processing and analytics.
Top Skills: Apache KafkaBeamDruidFlinkGoGrafanaJupyter NotebooksMetabasePinotPostgresPower BIPythonTimescale
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