Top Senior Level Data & Analytics Jobs in Los Angeles, CA

Senior Data Engineer role at Fandango, responsible for designing, building, testing, and maintaining data pipelines for various source systems. Requires expertise in Data Engineering, Data Modeling, Data Lake, and experience with AWS data management tools.

Organize and manage business operations for the global Sales function, focusing on clean and accurate reporting. Responsible for forecast and inventory projections, data cleanliness, and supporting creation of various reports. Must have 7+ years of relevant work experience and strong business judgment.

Lead and shape the data-driven culture at BlackLine as the VP of Data & Analytics. Develop and execute a comprehensive data strategy, oversee Data Engineering, ML, Data Science, and Data Analytics functions, and deliver actionable insights for business decision-making. Recruit and nurture a world-class data team while influencing go-to-market strategies and business decisions through data analysis.

As a Senior Business Intelligence Engineer at Cash App, you will be responsible for creating and optimizing data models, building pipelines, and developing dashboards to facilitate business decisions. You will work closely with cross-functional teams to analyze and manage large datasets.

Join Snap Inc as a Senior Data Scientist to apply quantitative analysis and statistical modeling for impactful data insights, drive decision-making, collaborate with cross-functional teams, and innovate Snap's product roadmap.

The Sr. Business Systems Analyst will lead critical initiatives for CLM processes, collaborate with stakeholders to define strategies, and provide CLM application support. They must have a deep understanding of CLM processes and experience in the SaaS industry.

Responsible for leading centralized Data functions for Square, including Data Science, Analytics, Machine Learning, and Data Engineering teams. Architect of Square's Data strategy, driving strategic direction, technical roadmap, and data governance principles. Cultivates a culture of agility and continuous enhancement, delivers impactful insights to partners, ensures customer-focused data practices, and builds and scales a top-tier data team.