Top Remote Senior Level Data & Analytics Jobs

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

The Assistant Director & Associate Actuary supports capital attribution for P&C lines, collaborates with business partners, contributes to reporting, and enhances models while applying capital concepts to business needs.

Responsible for assessing and improving data quality. Collaborates with developers to implement data logic, conducts quality reviews, and communicates issues to resolve data quality problems. Provides support to ETL teams and manages customer requirements throughout the project lifecycle.

Lead end-to-end BI projects: translate business questions into data requirements, build executive client-facing Tableau dashboards, analyze multi-source marketing data, ensure data integrity, and present actionable insights to stakeholders in a fast-paced agency environment.

As a key contributor to the pricing strategy in Commercial Auto, the Sr. Consultant conducts actuarial analyses, develops pricing methodologies, analyzes data, and collaborates with business partners for recommendations and strategies.

Serve as the primary data partner to fundraising and marketing, building production-grade data models, defining KPIs, creating automated data products, delivering revenue forecasts and donor cohort analyses, and translating insights to drive acquisition, retention, and revenue growth.

The Senior Director of Analytics will lead the Analytics & BI practice, managing teams to provide high-impact insights and solutions in life insurance and annuities.

Design and implement dimensional and relational data models, build and maintain dbt transformation pipelines, ensure data quality and monitoring, collaborate with analysts and data scientists, define data contracts with engineers, establish analytics engineering best practices, and enable self-service analytics for stakeholders.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.

Lead measurement and data foundations translating contact center and customer feedback into quantified opportunities. Define metrics, partner with Data Engineering to build scalable data models, validate instrumentation, run impact analyses, and deliver executive-ready insights to inform product and CX prioritization and reduce cost-to-serve.