Top Data & Analytics Jobs

Design and implement scalable cloud-based ETL and analytics solutions using Incorta and Azure. Translate business requirements into architectures, lead data ingestion and integration across ERP and enterprise apps, optimize performance and security, support CI/CD and deployment, mentor teams, and conduct architecture reviews and governance.

Analyze sales, traffic, and campaign performance on third-party marketplaces to optimize product placement, UX, and conversion. Research trends, develop data-driven marketing and merchandising strategies, report findings, and collaborate with developers, marketers, and product teams to drive growth and profitability.

The Data Engineer will build and optimize data pipelines and infrastructure, ensuring data quality for analytics and machine learning initiatives while collaborating with teams to develop data solutions.

Design and oversee scalable, secure data and cloud solutions. Translate business requirements into architecture, lead technical teams, produce documentation, evaluate technologies, prototype POCs, and manage architectural risk.

Own people analytics for recruiting and HR: define metrics and data model, build dashboards and reports, ensure data quality and governance, run ad-hoc and deep-dive analyses, and partner with engineering and People leadership to scale People data and AI tooling.

The Senior Data Engineer will build and deploy data pipelines, develop warehouse architectures, and design analytics solutions for the team.

The role involves building scalable ELT/ETL pipelines on GCP, utilizing SQL and Python, and managing security and infrastructure automation while ensuring real-time processing and resource provisioning.

Support the Managed Assets Research department in delivering high-quality investment solutions through research, communications, and client portfolio reviews.

Analyze comparative rater performance and agency submission workflows to identify trends, improve quote-to-bind conversion, and recommend profitability improvements. Evaluate agency-facing technology, deliver training and in-person support, develop reporting and materials, and collaborate with Sales, Underwriting, and Product to address pricing, competitiveness, and process gaps. Support business continuity as needed.

Lead customer insights and segmentation strategy to optimize targeting, personalization, and lifecycle performance. Partner with Marketing, Digital, and executives to define metrics, translate data into actionable playbooks, specify data models and attributes, leverage customer research and AI, and drive test-and-learn programs. Manage day-to-day team operations and career development while ensuring insights inform campaign planning and improve long-term customer value.