Top Remote Data & Analytics Jobs

The role involves designing, building, and maintaining Snowflake data pipelines, reverse-engineering data products, and leveraging AI-assisted development tools to enhance data solutions.

The Senior Data Scientist will lead analytics efforts, develop data models, and improve data pipelines to support Thyme Care's mission in oncology care, while collaborating with stakeholders to enhance performance metrics and reporting.

The Salesforce Business Solution Architect I translates business needs into solutions within Salesforce, capturing requirements, designing processes, and mentoring project teams. Responsibilities include leading projects, defining data and processes, and ensuring use of technology aligns with business goals.

The Credit Analyst II role involves data analysis and MIS reporting for credit risk, focusing on accurate reporting and process improvement.

The Decision Science Analyst role focuses on delivering actionable customer insights using loyalty data, collaborating with client teams to enhance sales and marketing strategies through data analysis and visualization.

Design, build, and maintain scalable ETL/ELT data pipelines on Databricks and AWS S3; manage large geospatial and temporal datasets; productionize ML models; implement data validation, testing, and monitoring; optimize storage and processing; document workflows; collaborate cross-functionally.

Lead advanced media analytics for HCP and DTC campaigns, integrating healthcare datasets to quantify media impact and connect exposure to business outcomes. Deliver insights through dashboards and presentations while mentoring analysts.

As an Analytics Engineer, you'll lead the transformation layer of data, focusing on data quality, refactoring for clarity, and optimizing costs in BigQuery. You'll work closely with cross-functional teams to ensure effective data use and architecture as the foundation for AI initiatives.

The Data Acquisition Specialist will lead civic data research projects, manage data acquisition processes, and collaborate with technical teams to enhance data quality.

The Staff Risk Analytics role involves overseeing fraud risk management, developing strategies, leading cross-functional initiatives, and providing real-time analytics in fintech.