Top Senior Data & Analytics Jobs

Leads marketing optimization analytics by framing ambiguous business questions, conducting deep-dive performance analyses, measuring media effectiveness, optimizing spend, and managing incrementality testing. Develops evidence-based recommendations for marketing leadership and Finance, partners with media, brand, agency, and data teams, and communicates complex findings to senior stakeholders. The role requires expertise in marketing mix modeling, experimentation, SQL, and marketing performance data.

Leads data analytics for Real Estate Finance by modernizing reporting infrastructure, building Power BI dashboards, developing forecasting and portfolio performance models, and delivering executive insights. The role supports cloud analytics platforms using GCP and BigQuery, strengthens data governance, enables self-service reporting, and explores AI/ML applications. It partners with Finance, IT, and business stakeholders to define KPIs, improve data quality, and translate financial and operational data into strategic recommendations.

Designs and maintains scalable Azure data pipelines and ETL/ELT solutions across data lakes, warehouses, lakehouses, streaming platforms, and enterprise sources. Builds integrations using Azure Data Factory, Synapse, Databricks, Spark, Kafka, and related services; applies security, governance, monitoring, and performance optimization practices. Develops Power BI dashboards, reports, data models, and visualizations, while supporting analytics and AI/ML use cases. Collaborates in Agile teams and automates deployments through DevOps and CI/CD practices.

Designs and develops AWS data pipelines and automated document-processing workflows for structured and unstructured data. Builds chunking, embedding, vector indexing, semantic search, knowledge bases, and RAG integrations. Develops AI agents using Amazon Bedrock and Claude technologies, deploys them through AgentCore, and maintains GitHub Actions CI/CD pipelines. Optimizes systems for scalability, reliability, security, and performance. Requires remote work in western U.S. time zones and travel to client workshops or meetings.

Manage DB2 database administration and infrastructure operations, including database design, performance monitoring, tuning, upgrades, recovery, catalog maintenance, SQL code reviews, and procedure documentation. Support DB2, Oracle, and SQL Server environments on z/OS and Windows. Perform infrastructure planning, testing, disaster recovery activities, and technical mentoring while supporting enterprise tools, applications, and operational platforms.

Designs, develops, and maintains Azure-based data platforms, ETL/ELT pipelines, data warehouses, data lakes, and database systems. Manages Azure services, networking, security, monitoring, automation, performance tuning, backup and recovery, high availability, and disaster recovery. Supports enterprise reporting, analytics, Power BI environments, production incidents, migrations from on-premises systems, and collaboration with analysts, DBAs, developers, and infrastructure teams.

Manage strategic analytics projects for executives and cross-functional stakeholders. Build SQL- and Excel-based analyses, financial models, forecasts, breakeven analyses, and licensing negotiation scenarios. Translate complex data into commercially impactful insights and executive presentations, while managing projects independently, supporting strategy, and collaborating across business units and with junior analysts.

Produces complex reports and business intelligence from multiple data sources, analyzing network utilization, cost containment, and operational information. Performs forecasting, modeling, regression, data mining, and quality evaluation. Defines deliverables, coordinates resources, liaises with IT and vendors, manages project plans, presents findings, recommends improvements, and mentors junior analysts.

Serve as the primary business intelligence and analytics partner for Governance, Risk & Assurance and the General Counsel Strategy Office. Analyze complex datasets, build dashboards and data models, support data governance and risk initiatives, identify automation and AI opportunities, and translate technical findings into business recommendations. Collaborate across enterprise functions, provide reporting and technology guidance, evaluate AI solutions, and drive adoption of data-informed practices.

Maintains data governance and quality across mission systems by validating sources, managing metadata and data dictionaries, reconciling metrics, performing profiling and cleansing, documenting lineage, and supporting cross-system harmonization. The analyst collaborates with reporting teams, dashboard developers, data owners, and PMO leadership to ensure accurate, standardized, compliant enterprise reporting.