Top Remote Data & Analytics Jobs

The Actuary will lead model development and validation in the Modeling & ALM team to support financial reporting and strategic decision-making.

The Senior Manager, Credit Strategy is responsible for shaping and executing credit strategies, optimizing underwriting, and enhancing profitability through data analytics and collaboration with stakeholders.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Conduct research pushing experimental and causal-methodologies in public opinion, develop tools and prototypes to analyze experimental data, and communicate findings to internal teams and clients to inform platform features and insights.

The Product Analyst will write API specifications, document API functionality, collaborate across teams for data mapping, and analyze API usage for improvement opportunities.

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.

The Senior Billing Strategy Analyst will analyze data, manage projects, support finance and billing teams, and improve billing processes for efficient operations.

Lead discovery and requirements for a workforce development SaaS platform, translate needs into user stories, and manage UAT delivery.

The Data Engineer role involves designing and maintaining AWS-cloud-native data systems, developing ETL processes, optimizing data pipelines, and ensuring data security and governance in healthcare data applications.