Top Senior Data & Analytics Jobs

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.

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.

The Senior Data Analyst partners with business and technical stakeholders to translate business questions into analytical frameworks, KPIs, dashboards, and actionable recommendations. Responsibilities include marketing analytics, customer insights, CDP and Salesforce enablement, data governance, metric standardization, data-quality improvement, SQL-based analytical dataset development, and executive reporting. The role supports enterprise analytics initiatives across marketing, sales, service, data engineering, and technology teams.

Own the architecture, performance, security, reliability, and scalability of RIVO’s Azure SQL environment. Design data models, modernize legacy databases, optimize T-SQL and workloads, manage backup and disaster recovery, implement security controls, and automate deployments. Build ETL/ELT pipelines using Azure Data Factory or SSIS, establish data quality processes, and partner with Engineering, Product, and Analytics teams on scalable data solutions and governance.

Designs scalable finance analytics workflows, data models, pipelines, and automation supporting FP&A decision-making. Builds governed finance data layers from ERP and operational data, develops self-service analytics, applies AI/ML for predictive insights and anomaly detection, and manages automation governance. Translates financial data into executive-ready insights while ensuring solutions are documented, maintainable, and scalable.

Translate business needs into technical and analytical specifications; gather requirements; build dashboards, forecasts, and financial/productivity analytics; manage QA, testing and release; document processes; train users; provide post-implementation support; and serve as liaison between business, IT, and operations.