Top Remote Data & Analytics Jobs

The BI Engineer will design and maintain business intelligence solutions, automate reporting, and ensure data integrity for media performance insights, collaborating with various teams and partners.

The Senior Data Engineer develops and maintains data pipelines, evaluates business requirements, integrates data, ensures quality, and collaborates with teams to fulfill data infrastructure needs.

The Senior BI Engineer will develop and maintain business intelligence solutions for CRM insights, leading dashboard automation and integrating complex data systems.

The Data Engineer will lead data projects, collaborate with stakeholders, develop data transformations, and maintain data quality for business needs.

Responsible for end-to-end analytics for residential mortgage portfolio, defining KPIs, conducting risk analysis, and delivering data-driven strategies to improve lending processes.

The Sr Product Analyst will lead SAP O2C and PTP implementations, support integrations with cloud solutions, and manage product master data while mentoring junior team members.

The Senior Data Analyst will provide high-quality analytics and insights for business strategies, automate reporting, and collaborate across teams to transform data into actionable insights.

The Sr. People Scientist will evaluate ServiceNow's learning ecosystem, applying research methods and analytics to drive program success and inform business decisions.

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.

As a Data Analyst at Doximity, you will analyze extensive datasets, work with cross-functional teams, create analytics, and inform data strategies to enhance healthcare solutions.

Lead Toast's credit risk strategy, overseeing portfolio management, product growth, and analytics while ensuring compliance with regulations and mentoring analysts.

Lead CX analytics strategy and operations by standardizing metrics, enabling self-service analytics, and embedding AI in the analytics lifecycle to enhance decision-making processes.