Top Hybrid Data & Analytics Jobs in Los Angeles, CA

Leads applied AI and health data architecture initiatives for payer clients. Designs cloud-native platforms, pipelines, data models, integrations, and modernization roadmaps across AWS, Azure, Databricks, and Snowflake. Oversees data quality, governance, anonymization, performance optimization, and legacy migrations while advising stakeholders on AI-ready architectures. Manages multi-team delivery, resolves technical issues, presents solution tradeoffs, and coaches practitioners.

Leads the strategic direction of data initiatives, governance, and decision-making frameworks. Establishes growth and innovation strategies, manages transformative data projects, maintains executive client relationships, mentors leaders, promotes innovation, collaborates across departments, and ensures adherence to professional data-management standards. The role also supports business development and applies modern cloud architectures, integration patterns, big data engineering, advanced analytics, and AI/ML capabilities.

Investigate Terms of Service and Community Guidelines violations, identify abuse trends, and develop automated detection and enforcement rules. Analyze large datasets using SQL, create dashboards and reports, measure mitigation effectiveness, and recommend policy, process, and product improvements. Collaborate with Product, Engineering, and scaled review teams, apply LLM-based approaches, provide training, and improve internal investigation tools and safety operations.

The Business Analyst translates complex data into actionable business insights. Responsibilities include building Looker dashboards, producing recurring and ad hoc reports, analyzing trends and performance drivers, partnering with Marketing, Sales, and Operations, and supporting process improvements. The role requires strong SQL, Excel, communication, business judgment, and independent project management skills, with preferred experience in BigQuery and insurance industry metrics.

Maintain global ERP master data, item and branch records, BOMs, planning parameters, MRP data, and supply chain documentation. Analyze data quality issues, support reporting and dashboards, ensure compliance with SOX and GMP requirements, and collaborate with Manufacturing, Quality, Regulatory, Finance, and planning teams. The role also contributes to process improvements, ERP enhancements, and transformation initiatives.

Analyze, clean, validate, and reconcile data to produce dashboards, reports, metrics, SQL queries, analytical datasets, and business insights. Partner with stakeholders to define requirements, investigate trends and anomalies, validate data models and workflows, improve data quality, and establish scalable analytics standards and documentation.

Design, build, and own scalable ETL/ELT pipelines, data models, and data infrastructure. Improve data quality, observability, performance, and CI/CD for data workflows. Partner with analytics, ML, software, and product teams, mentor engineers, and resolve complex data issues.

The Film Research Coordinator gathers, verifies, and enters metadata for feature films and streaming projects. The role conducts outreach to studios and production companies, monitors entertainment news, supports data cleanup and DEI research, assists with website QA, and collaborates with clients and data partners. Strong attention to detail, communication, technical aptitude, spreadsheet knowledge, independence, and entertainment industry experience are required.

Leads Bloom Ads’ analytics, data operations, media intelligence, and measurement capabilities. The role oversees marketing mix modeling, attribution, experimentation, forecasting, customer analytics, data governance, campaign activation, and executive reporting. It manages and mentors analytics professionals, builds scalable measurement frameworks, advises clients and agency leadership, translates technical findings into media recommendations, and partners with media, technology, and data teams to improve campaign performance and business outcomes.

Analyze integrated media channel performance across OTT, programmatic, and other channels to guide marketing investments. Manage data, experimentation, learning agendas, automated reporting, and visualization solutions. Partner with internal and external stakeholders, communicate insights and project plans, and coach analysts. Use SQL and analytical programming tools to solve complex problems, leverage generative AI, and present findings to leadership.

Analyze integrated marketing performance across paid media, organic social, CRM, websites, and other customer touchpoints. Combine data sources, identify trends and opportunities, and translate findings into actionable recommendations. Present insights directly to clients and collaborate with strategy, media, CRM, social, creative, and account teams. Strengthen measurement, benchmarks, tracking, reporting, and data visualization while supporting ongoing client analytics and emerging business questions.