Senior Consumer Analytics Engineer, Upside

• This is a great opportunity for someone who’s confident working with large datasets and complex business logic, thrives in a fast-moving environment, and wants to grow as a technical contributor while collaborating closely with product managers, analysts, data scientists, and engineers across the company
• You aren’t afraid to challenge the status quo when it makes the team and business better. You learn from those around you while utilizing data to advocate for informed change
• You thrive at the intersection of systems and storytelling, not only building robust solutions but also communicating their purpose, impact and rationale, so teams can experiment, iterate, and act confidently
• You care about building resilient systems that scale. You bring a mindset of continuous improvement, and know when to invest in observability, automation, or new infrastructure to reduce toil and improve outcomes for the team and end users
• You believe that pulling quality upstream starts with engineering. You champion best practices, encourage early testing and validation, and work closely with peers to build a culture of quality from the ground up
• Have 3+ years of experience working in data or analytics engineering roles, preferably in a modern data stack environment (e.g., Snowflake, dbt, Dagster, Airflow)
• Are fluent in SQL, and comfortable writing performant, modular transformations at scale
• Have working knowledge of Python, particularly in the context of data orchestration, transformations, and testing
• Understand tradeoffs between different modeling approaches (e.g., Kimball vs. OBT), and can choose appropriate techniques based on data volume and business needs
• Can independently communicate technical concepts to both engineers and non-technical stakeholders
• Think critically about ROI, know when to automate, and understand how to balance long-term quality with short-term delivery

Desirable

• We're looking for an Analytics Engineer to join the team responsible for Upside’s core data platform
• You’ll play a key role in building trusted data products that serve both internal teams and customer-facing features, while also improving the analytics platform and enabling others to do their best data work
• Design and build complex, scalable data products that support internal analytics and power product features, using tools like dbt, Snowflake, and Dagster
• Translate ambiguous business needs into structured, trustworthy data assets—owning development end-to-end, from design through deployment and monitoring
• Contribute to shared platform tooling that improves pipeline orchestration, testing, access control, and observability for both engineers and analysts
• Evaluate and implement new platform capabilities, such as Semantic Views, Cortex, or SnowML, to improve performance, maintainability, and user experience
• Support and enable teammates across the org, including onboarding new users, resolving data issues, and documenting patterns and best practices
• Maintain reliability and data quality through shield support rotations, strong monitoring, alerting, and test coverage