Top Hybrid Data & Analytics Jobs in Los Angeles, CA

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.

Lead business intelligence initiatives supporting Snapchat’s Sales organization. Analyze data from multiple sources, identify campaign and industry trends, build dashboards and reports, deliver actionable revenue insights, and recommend optimization strategies. Partner with cross-functional teams on measurement strategies, product feedback, revenue programs, and growth initiatives. Communicate complex analyses to technical and non-technical audiences and influence business decisions through compelling data stories.

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.

Own the enterprise analytics data layer by defining and documenting data models, business rules, metrics, and ETL requirements. Validate curated datasets, maintain gold tables, data catalogs, and governance documentation, and administer the Tableau environment. Support permissions, dashboard adoption, user training, self-service analytics, privacy requests, and data governance while partnering with engineering, business, legal, and privacy stakeholders.

Supports recurring and ad hoc media analytics, reporting, data quality assurance, and performance insight development. The role gathers and validates data, creates client-ready narratives and presentations, collaborates with internal teams and external partners, and helps improve reporting workflows. Required skills include Excel, PowerPoint, data analysis, communication, and attention to detail; familiarity with Power BI, Tableau, Python, R, and SQL is valued.

Analyze consumer behavior, sales performance, marketing effectiveness, and eCommerce impact data. Build and disseminate Power BI dashboards, prepare actionable findings for Brand Marketing and Sales stakeholders, collaborate on cross-functional research projects, review presentation design consistency, and document processes. The role requires strong Excel, Power BI, and R skills, familiarity with syndicated sales data and eCommerce workflows, and the ability to communicate quantitative insights clearly.

The Data Analyst will analyze player behavior, web and game usage data, and business processes to generate actionable insights. Responsibilities include data exploration and validation, metric development, visualization, statistical analysis, experimentation, stakeholder collaboration, and presenting recommendations that improve user experience and business growth. The role also involves translating data needs into specifications and developing skills in data cloud technologies, data science, storytelling, and AI.