Remote Data Jobs · Data Modeling

The USDS Earnix team is looking for a Senior Analyst, Product Analysis to design and build major pricing programs in Earnix. This role will collaborate closely with modeling, data and technology teams. The Earnix initiative will transform our pricing ecosystem and post modeling processes to increase speed to market and deploy more sophisticated models across LOBs.

• Analyze complex datasets to identify patterns of fraudulent behavior.
• Design, build, and maintain dashboards and reporting solutions for fraud monitoring.
• Collaborate with cross-functional teams to deliver analytics projects that inform fraud rules.

• Perform data preparation by identifying and connecting to multiple data sources.
• Visualize data by creating reports and dashboards, and analyze data to expose insights.
• Deploy and maintain deliverables by managing datasets.

• Define and communicate the long-term data architecture vision, aligned with the business strategy.
• Lead the evaluation and selection of technologies, frameworks, and standards for implementing the data architecture.
• Ensure compliance with data security regulations and standards.

• Scale the corporate People Data Warehouse to support analytics across multiple teams.
• Build and maintain ETL pipelines using Hive, Spark, or other MPP database architectures.
• Identify, diagnose, and resolve complex data issues.

• Develop and operate modern data architecture approaches to meet key business objectives.
• Develop intricate data processing pipelines, addressing clients' most challenging problems.
• Collaborate with data scientists to design scalable implementations of their models.

• Play a pivotal role in transforming raw data into actionable insights that drive strategic decisions.
• Maintain accurate and accessible data pipelines while building automated dashboards and reports.
• Improve data integrity, governance, and usability for teams across the organization.

Design, develop, and maintain Snowflake-based data pipelines and ELT workflows. Develop Snowflake objects, including tables, views, stored procedures, and UDFs. Monitor and optimize Snowflake performance using query profiling and workload management.

Shape and evolve a modern, cloud-based data platform. Design and implement domain-oriented data products, optimize ETL/ELT pipelines. Build a robust data lake and support near real-time reporting and analytics.

Shape and evolve a modern, cloud-based data platform. Design and implement domain-oriented data products, optimize ETL/ELT pipelines. Build a robust data lake and support near real-time reporting and analytics.