Top Hybrid Data & Analytics Jobs in Los Angeles, CA

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.

Provides analytics and strategic advisory support for mergers, acquisitions, and other business transactions. Analyzes contract data to identify risks, obligations, performance insights, and compliance indicators; develops algorithms, data models, pipelines, dashboards, and predictive models using Python and machine learning. Collaborates with clients and internal teams, validates data integrity and security, mentors junior staff, and delivers data-driven recommendations.

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.

Owns recurring executive reporting, competitive intelligence, cross-brand analytics, and ad hoc analysis across Match Group brands. Consolidates metrics from multiple data sources, analyzes user overlap and migration, sizes markets, supports executive and Board decisions, and improves reporting automation. Requires strong SQL, Excel, BI visualization, communication, and presentation skills across marketing, product, finance, and research data.

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.

Leads qualitative and quantitative consumer research initiatives from scoping through delivery. Manages brand health trackers, analyzes sales and panel data, develops secondary research, and produces concise insights to guide strategic decisions. Partners with vendors and senior stakeholders, presents findings, manages multiple projects, and serves as a strategic thought partner across the organization.