Top Data & Analytics Jobs

Analyzes insurance and actuarial data, prepares regulatory filings and customer-facing products, troubleshoots coding logic, evaluates data quality, develops automated processes, and creates dashboards and data stories. Collaborates with actuarial, data, product, IT, regulators, and insurers to improve analytics, products, workflows, and customer experiences.

Administer Microsoft Dynamics 365 CRM, develop Power BI dashboards and data models, integrate data across business systems, and establish data governance practices. Partner with cross-functional teams to define metrics, deliver actionable insights, automate workflows, improve business processes, maintain data quality, and support technology initiatives and system enhancements.

Leads the architecture, design, and implementation of scalable GCP and Databricks data lakehouse platforms. Designs real-time and batch pipelines, data models, governance, cataloging, security, and performance optimization. Advises clients, translates business requirements into technical solutions, leads project teams, mentors engineers, reviews architectures, and balances strategic planning with hands-on proof-of-concept and troubleshooting work.

Develop and support enterprise data lake and data warehouse solutions, including ETL pipelines, data transformations, database objects, schema impact analysis, documentation, and migrations. Collaborate with customers and IT teams as a data warehousing subject matter expert, learn evolving technologies, and participate in a 24/7 on-call rotation. The position is remote within the United States but requires periodic travel to Cornell’s Ithaca campus and occasional off-hours support.

Own the end-to-end architecture of Opiniion’s data platform, including ingestion, transformation, storage, modeling, governance, semantic layers, and BI/AI enablement. Partner with software architecture leadership on a new platform, guide migration decisions, establish data quality and lineage practices, design statistical models, and mentor data engineers. The role requires hands-on expertise with Databricks, modern data modeling, ETL/ELT orchestration, distributed processing, cloud infrastructure, and AI/ML data readiness.

Collects and analyzes business and operational data, develops reports and dashboards, manages documentation, and supports process improvement. The role creates AI-enabled automation solutions, configures AI agents, integrates Microsoft 365 tools with approved AI platforms, and produces executive briefings, legislative summaries, and recurring information products for DLA leadership.

The Data Analyst will lead end-to-end analytics, develop metrics and dashboards, automate reporting and data-quality checks, and build lightweight scoring, classification, similarity, and risk-adjustment models. The role partners with Sales, Operations, Product, and leadership to answer ambiguous business questions, standardize reporting, and influence priorities. Strong SQL and Python skills are required, along with dashboard development and stakeholder communication. Healthcare data, dbt, Snowflake, and engineering collaboration experience are preferred.

Build analytical frameworks, measurement methodologies, and decision support to drive enterprise decisions across marketing, loyalty, pricing, menu, media, and operations. Mine and integrate customer, transaction, digital, and operational data; develop segmentation, predictive models, and dashboards; lead test-and-learn, incrementality, and forecasting efforts; translate analysis into clear business recommendations and scalable decisioning tools.

Designs, develops, and executes complex Informatica ETL workflows and enterprise data integration pipelines. Optimizes SQL and database performance, prepares data mappings and technical documentation, troubleshoots pipeline failures, reviews code and testing plans, and guides engineering peers. The role supports reliable data movement, data quality, security compliance, release management, and enterprise banking analytics initiatives.

Supports strategic pricing initiatives through competitive pricing analysis, market research, pricing data collection and analysis, database and dashboard maintenance, pricing recommendations, price-testing analysis, management reporting, and process improvement. The intern collaborates cross-functionally and helps improve pricing tools, data accuracy, sales performance, profitability, and revenue optimization.