Top Data & Analytics Jobs

The Amazon Business Analyst manages Liquid I.V.'s Amazon operations, including inventory, reporting, and performance monitoring while collaborating cross-functionally to support growth.

Lead analytics work to assess multifamily credit risk using large datasets, statistical models, and scenario analysis. Build and maintain analytical frameworks, evaluate credit models, quantify portfolio and new-business risk, and communicate findings to senior leaders and stakeholders.

Lead enterprise reporting and data strategy and delivery across data engineering, BI, actuarial and reinsurance domains. Own data platform architecture (Snowflake, Azure, Databricks), governance, compliance, and vendor relationships. Drive agile teams, ensure audit-ready reporting, enable AI/ML modernization, and engage SVP stakeholders to align priorities and outcomes while mentoring technical leaders and ensuring operational stability.

Lead enterprise data architecture across Snowflake, dbt, and Power BI. Define data models, integration patterns, ingestion (batch and near real-time), governance, metadata, lineage, and BI semantic layers. Own roadmap, standards, documentation, design reviews, and mentor engineering and BI teams to ensure scalable, consistent, and trusted analytics across the organization.

Perform advanced data extraction, transformation, analysis, and visualization to deliver actionable, equity-centered insights. Build reports, dashboards, and data products; collaborate with data engineering and cross-functional partners; maintain data quality, documentation, and models; communicate findings to stakeholders and support team development.

Lead KEEN's enterprise data and analytics strategy and SAP S/4HANA readiness. Build scalable data architecture, governance, and AI enablement. Prioritize high-impact analytics and AI use cases across merchandising, DTC, wholesale, supply chain, and finance. Hire and develop data architects, engineers, and analysts, and advise executive leadership to drive measurable business outcomes.

Design, build, and maintain analytics-ready data models and semantic layers in Snowflake. Deliver performant dimensional models, star schemas, and KPI-aligned datasets for BI and data science. Optimize queries, monitor performance, enforce governance, translate business requirements into technical solutions, and support security/compliance. Partner with cross-functional teams and enable self-service analytics.

Own end-to-end data work: build and maintain dbt models and pipelines, ensure warehouse data quality, design Tableau dashboards, automate recurring reports, partner with stakeholders to translate needs into analytical products, and leverage Python and AI tools to improve data infrastructure and analytics.

Lead people analytics strategy and execution: build HR data governance, remediate UKG Pro data quality, deliver enterprise people scorecards and dashboards, advance analytics from descriptive to predictive, and partner with HR, Technology, and Finance to drive data-driven workforce decisions.

Design, build, and maintain ETL workflows and data integrity checks for VA enterprise systems. Lead technical execution for ETL developers, peer-review code, monitor ETL performance, validate SQL reports, store packages in GitHub, and coordinate staffing and best-practice training across Scrum teams to support cloud migration and analytics/AI delivery.