Top Senior Data & Analytics Jobs

Lead North American customer research agenda: design and run tracking and ad-hoc studies, analyze quantitative and qualitative data, translate findings into actionable commercial insight, present to stakeholders, manage and coach direct report, and improve research processes and methodologies.

Lead design and scaling of the data platform and analytics pipelines. Build and maintain ETL/ELT workflows, integrations, serverless data services, and reliable data models. Mentor teammates, improve automation, observability, and data governance to support analytics and operational insights.

Lead commercial analytics to diagnose sell-through, pricing, promotions, assortment, and retailer execution. Build causal and incrementality measurement, design test-and-learn, support elasticity and margin analyses, and deliver executive-ready insights and frameworks to optimize revenue, margin, and promotional efficiency across channels and retailers.

Own the analytics foundation for Fieldguide Insights: design the semantic layer, define canonical tables/metrics, migrate report logic into governed dbt models, harden pipelines with monitoring and alerts, ensure data quality, and partner across product, engineering, and customers to enable reliable BI and emerging LLM/MCP analytics.

The Business Systems Analyst provides expertise on investment accounting systems, facilitating communication between business stakeholders and technology teams, analyzing data management, and guiding complex technical solutions.

Lead design and maintenance of data warehouse architecture, schemas, and ETL to support reporting and BI. Provide Oracle DBA support (configuration, backup, tuning), integrate enterprise systems (Workday, Cayuse, Lawson), enforce data governance and security best practices, and collaborate across IT to document and optimize data solutions.

Lead enterprise data analytics and insights projects for Fidelity’s Legal, Risk, and Compliance organization. Define business questions, identify data sources, perform advanced analysis across structured and unstructured data, build automated workflows and business intelligence reports, and communicate actionable findings. Collaborate with Risk, Audit, Compliance, Legal, technology, customer-facing, and data-provider teams to develop scalable, data-driven solutions supporting risk management and decision-making.

Co-lead the design and development of enterprise data services and analytics products. Define requirements and use cases, support data modeling, analyze datasets with SQL, assess data-model changes, create validation scenarios, and apply data governance practices. Collaborate with cross-functional stakeholders, communicate technical concepts clearly, and recommend solutions for integrated enterprise data and reporting initiatives.

Own the operations analytics stack, including data warehouses, ETL pipelines, governance, forecasting models, executive dashboards, supply chain analytics, inventory optimization, and costed BOM reporting. Partner with Sales, Finance, Supply Chain, and Operations leadership to support S&OP, demand planning, production decisions, supplier performance, capacity utilization, and cost scenarios.

Leads data engineering strategy, architecture, delivery, support, and lifecycle management for secure, scalable cloud and hosted data solutions. Collaborates with technical and business stakeholders to deliver complex datasets, establish enterprise data standards, manage data engineering teams, and oversee maintenance, change management, capacity planning, business continuity, disaster recovery, and regulatory security requirements. The role also evaluates third-party tools and supports Azure DevOps, SDLC, CI/CD, and technical innovation.

Lead design and delivery of data models, analytics, automated workflows, and visualizations to support HR decision-making. Build scalable data solutions for workforce planning, compensation, and reporting, deploy emerging technologies (GenAI, automation), ensure data governance and security, and partner with senior leaders on workforce strategy.

Support US Intermediary sales by transforming sales and market data into actionable insights. Lead analytical initiatives across product lines, identify growth opportunities, partner with sales leadership, and leverage AI and visualization tools to deliver executive-ready recommendations that influence targeting, campaigns, and distribution strategy.

Lead delivery and transformation of financial analytics for investment banking partners. Oversee team utilization and capacity planning, implement AI and automation (UIPath, Python, GPT/Claude) to create scalable products (profiles, pitchbooks, dashboards), partner with research and stakeholders, measure service effectiveness, and identify new analytics opportunities.