Top Hybrid Data & Analytics Jobs in Los Angeles, CA

Supports data analysis and client advisory projects by researching datasets, identifying patterns, developing dashboards, integrating data sources, and using Alteryx and Power BI to automate analytics and visualize business metrics. The intern assists with algorithm development, data-driven insights, and cloud and data architecture initiatives while learning PwC methodologies and building professional skills.

Leads business intelligence and analytics engineering initiatives for Snap’s People Team. Designs scalable data pipelines, models, data products, dashboards, and self-service analytics solutions. Translates business needs into technical requirements, conducts statistical analysis, improves data quality and operational reliability, and delivers actionable insights. Owns systems end to end while mentoring team members and communicating effectively with executives, business partners, analysts, and technical teams.

Designs and maintains data collection infrastructure, resilient pipelines, ETL/ELT processes, data warehouses, streaming architecture, BI reporting, and analytical systems. Troubleshoots technical defects, performs root-cause analysis, maintains specialized datasets, and owns end-to-end data collection, extraction, and cleansing. The role requires experience with AWS, Google Cloud, ETL tools, programming languages, NoSQL databases, and BI platforms.

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.

Leads the global Voice of Customer strategy, enterprise survey governance, customer-listening programs, and integrated analytics capabilities. Transforms customer, operational, behavioral, and market data into executive insights, dashboards, and actionable recommendations. Owns Qualtrics strategy and vendor performance, advances AI-enabled analytics, and builds a high-performing global customer insights team while driving cross-functional adoption, accountability, and customer-centric business improvements.

Leads and develops a team of data scientists supporting Tinder’s Integrity organization. Partners with product leadership across safety, account integrity, anti-abuse, and moderation. Owns analytical strategy, experimentation, causal inference, measurement frameworks, high-stakes investigations, and executive-level recommendations. Requires hands-on expertise with complex datasets, classifier evaluation, and trust and safety or adversarial behavior domains.

Analyze and improve business systems, workflows, data quality, reporting, and operational processes. Administer and optimize Deltek Vantagepoint, develop Power BI dashboards and data models, validate reporting accuracy, support CRM and financial data, and translate business requirements into scalable system solutions. Provide user support, documentation, training, testing, and implementation leadership while collaborating across Finance, HR, Marketing, Operations, and project teams.

Develop marketing analytics, KPIs, reporting methodologies, dashboards, visualizations, and actionable insights for client campaigns. Query and analyze data, identify optimization opportunities, communicate findings to technical and nontechnical audiences, collaborate with media planning and brand strategy teams, and manage client expectations. The role also improves analytical workflows, supports measurement strategies, and presents key findings throughout client engagements.

Manages marketing technology, CRM data analytics, AI-enabled data enrichment, and data quality initiatives. Develops governance guardrails, standards, controls, and processes to maintain accurate data. Analyzes marketing and business development information to identify revenue and operational efficiency opportunities, creates recurring reports, collaborates with vendors and internal stakeholders, and implements tools that support strategic decision-making and demand generation.

Develops and maintains metadata workflows for Getty’s Linked Open Data environment using Arches. Responsibilities include metadata creation and curation, semantic data mapping, crosswalks, cleaning, transformation, analysis, reporting, scripting, testing, documentation, and data integration. The role applies linked-data standards and computational methods, supports interoperability and reuse, collaborates across teams, and contributes to outreach, presentations, and publications related to cultural heritage data.