Top Data & Analytics Jobs

The VP of Portfolio Strategy & Analytics will lead data-driven insights into asset performance, ensuring strategic capital allocation and optimizing portfolio returns. They will collaborate with various departments to enhance decision-making, reporting, and analytics infrastructure.

Lead a BI team to design, develop, and maintain enterprise dashboards, KPIs, and reports. Collaborate with stakeholders, ensure data governance and quality, integrate BI with cloud data warehouses and ETL pipelines, and support ERP migration to cloud. Drive BI strategy, documentation, training, and continuous improvement to enable data-driven decisions across the company.

Collaborate to enhance product through analytics, conduct data exploration on user behavior, and present insights to influence product decisions.

The Analytics Specialist will conduct SQL querying, data cleaning, and validation, build dashboards and automated reports, and support data-driven operations.

The Principal Quant Engineer will design and implement a quantitative platform for investment research and production systems, collaborating with various teams to enhance architecture, technology, and operational productivity in quantitative finance.

The Biostatistics Director leads statistical analysis and clinical trial design, collaborates with teams, manages CROs, and oversees statistical outputs for clinical trials, especially in oncology.

Lead ownership of the global product taxonomy, catalog data model, and catalog governance. Define and enforce standards, train and up-level merchandising teams, interview SMEs, run design reviews, and translate ambiguous catalog issues into prioritized product and engineering requirements. Partner with R&D and clinical teams to enable new categories and advance AI-assisted catalog tooling and quality monitoring.

Lead advanced analytics and predictive modeling for readiness-based sparing and sustainment decisions supporting Navy and DoD programs. Translate business needs into analytical frameworks, build predictive/diagnostic models, ensure data governance and pipeline integrity, mentor junior analysts, document technical processes, and communicate findings to executive stakeholders.

Perform end-to-end data migrations for banks and credit unions: analyze donor systems, define requirements, map and transform data with SQL, validate conversions, reconcile results, resolve data issues, and build reusable automation and AI-assisted tools to improve migration speed and accuracy while supporting multiple client engagements.

Design and implement scalable Snowflake-based data architectures on cloud (Azure/AWS). Build and optimize ETL using SnowSQL and Spark, tune performance, migrate data systems, document designs, collaborate with stakeholders, and mentor engineers while incorporating agentic AI into the data engineering SDLC.