Top Hybrid Data & Analytics Jobs in Los Angeles, CA

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.

Leads data analysis and advanced analytics workstreams for clients, using statistical modeling, machine learning, data visualization, and Adobe Experience Cloud technologies to improve operations and strategic decision-making. Manages project planning, budgeting, execution, and completion while mentoring teams, maintaining data integrity and security, building Tableau and Power BI dashboards, identifying business opportunities, and integrating innovative analytics practices.

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.

Analyzes and cleans customer data for successful migration into ServiceTitan. Works directly with customers and cross-functional teams to interpret database structures, identify data issues, write T-SQL queries, transfer and reformat data, communicate project status, and manage shifting priorities and deadlines.

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.

Leads marketing analytics strategy, statistical modeling, marketing mix modeling, attribution, campaign measurement, and ROI analysis. Manages and mentors analysts while developing scalable analytical frameworks and automated data processes. Partners with clients, media teams, account teams, and vendors to translate business challenges into actionable insights. Requires hands-on programming in Python and R, SQL expertise, advertising-platform knowledge, and experience managing analytics engagements in agency or consulting environments.

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.