What are the responsibilities and job description for the Senior Data Analytics Engineer position at Upwell Revenue Software, Inc.?
About Us
Upwell is an Order-to-Cash platform for Logistics. Our platform combines practical AI applications with deep logistics expertise to automate complex freight processes, from document processing to predictive analytics. We focus on leveraging the rapidly evolving AI landscape to solve concrete supply chain challenges.
Position Overview
As a Senior Data Analytics Engineer, you'll be the driving force behind our data strategy, analytics infrastructure, and predictive modeling initiatives. Taking complete ownership of our data stack, you'll architect solutions that transform raw logistics data into actionable business intelligence and build predictive models that drive business outcomes. This role combines hands-on technical expertise with strategic thinking to support data-driven decision making across the organization.
What You'll Do
- Own and architect our entire data analytics infrastructure, from ingestion to visualization, ensuring scalability and reliability
- Design and optimize mission-critical data pipelines using FiveTran to transform complex logistics data into actionable insights
- Build and maintain comprehensive analytics dashboards in ThoughtSpot that drive key business decisions
- Architect and maintain sophisticated data models in Redshift, optimizing for both performance and accessibility
- Develop and deploy predictive models for business-critical use cases like credit scoring and payment likelihood prediction
- Establish data governance frameworks and best practices to ensure data security, quality, and compliance
- Partner with leadership to understand business requirements and translate them into technical solutions
- Proactively identify and implement improvements to our data infrastructure and analytics capabilities
- Manage the full lifecycle of our data platform, from monitoring and maintenance to incident response
Requirements
What Will Set You Apart
Benefits
Location : Fully remote position with opportunities for optional in-person collaboration. Must be located in the US.
Join us in building the next generation of intelligent freight management solutions that make global supply chains more efficient through practical applications of AI technology.
