Top Senior Data & Analytics Jobs

Design, build, test, deploy, and support governed data products and pipelines for supply chain operations. Develop Snowflake and dbt models, optimize workloads, implement data quality and observability controls, and use Databricks and Spark for scalable analytics and AI-ready data foundations. Partner with product, engineering, analytics, and business teams to define requirements and data contracts, lead initiatives through production, document solutions, and improve reliability, security, and engineering standards.

Leads enterprise data governance strategy, policies, quality frameworks, data cataloging, lineage, security, privacy, master data management, and responsible AI governance. Partners with stakeholders to improve data trust, regulatory compliance, and business value. Provides technical expertise in Snowflake, data transformation, and complex SQL while driving adoption of governance standards and practices across the organization.

Leads enterprise data engineering strategy, data lake architecture, platform development, and scalable data product delivery. Manages a global data engineering team, oversees ELT/ETL pipelines, and advances data quality, governance, observability, orchestration, CI/CD, and cloud platform capabilities. Partners with business, operations, product, technology, vendors, and external stakeholders to prioritize logistics-focused initiatives supporting analytics, automation, real-time tracking, supply chain optimization, and AI-enabled decision-making.

Serves as a strategic liaison between business divisions and technical teams, translating business needs into data and analytics solutions. Conducts data analysis, gathers requirements, supports reporting and integration initiatives, evaluates solution risks, and prioritizes data projects. The role guides solution design, data architecture, data quality, master data, cataloging, and advanced analytics efforts while presenting insights to business and technical stakeholders.

Designs, develops, and maintains Databricks-based ETL pipelines, data lake architectures, datasets, and data warehouses supporting reporting, analytics, and AI/ML workloads. Troubleshoots and optimizes Databricks and SSIS processes, maintains SSRS reports, implements data quality controls, migrates legacy systems, and collaborates with business and technical teams. The role also promotes AI-assisted development practices and documents technical procedures.

Leads fraud analytics to identify fraud methodologies, root causes, compromise points, volumes, and financial or operational impacts. Develops advanced analyses and actionable remediation recommendations for internal teams and participating financial institutions. Manages compromised credential processes, including identifying exposed credentials, social tokens, and payment information, assessing risk, and applying appropriate treatments. Requires experience in analytics coding, digital banking or payments, fraud risk management, and communicating insights to influence organizational change.

Own the company-wide data lifecycle across governance, platform coordination, security, and field test operations. Establish data definitions, quality controls, lineage, retention, access management, analytical datasets, and operational procedures. Partner with Foundry engineering to improve ingestion, transformation, monitoring, and scalable architecture. Lead pre- and post-test data readiness, collection, validation, transfer, and labeling processes while building and managing governance and field operations teams. The role is on-site in El Segundo and requires regular travel and support for critical events.

Owns the end-to-end data lifecycle by designing, building, orchestrating, governing, and optimizing batch and streaming pipelines on Databricks. Develops lakehouse architectures, data models, quality controls, CI/CD practices, and secure Unity Catalog implementations across Azure and other cloud platforms. Leads technical design and code reviews, establishes engineering standards, mentors data engineers, monitors production pipelines, resolves issues, and collaborates with business and IT stakeholders to deliver analytics, reporting, and AI/ML data solutions.

Lead media analytics and business intelligence initiatives across client accounts. Develop measurement strategies using marketing mix modeling, multi-touch attribution, incrementality testing, and brand lift. Translate complex modeling outputs into actionable recommendations, optimize media investments, oversee dashboards and reporting platforms, manage vendor partnerships, and mentor analysts and managers. Serve as a senior client advisor connecting measurement insights to strategic business decisions.

Leads data dashboard development, educational reporting, compliance submissions, assessment analysis, and data literacy training across a TK-8 charter network. Oversees SIS, LMS, assessment, and compliance integrations; ensures FERPA and regulatory compliance; supports instructional decision-making; and supervises and coaches a campus Principal. Responsibilities include CALPADS, Title I, special education, E-Rate, assessment, and state and federal reporting.