Senior Analytics Engineer I

Meet Upside:

We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retailprofit measurement attribution and incrementalityto provide users with more value on their everyday purchases and brick-and-mortar businesses with new profitable customers. Weve helped millions of users earn 2 to 3 times more cashback than any other product and hundreds of thousands of brick-and-mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year and that value goes directly back to our retailer partners the consumers they serve and important sustainability initiatives.

About the role:

Were looking for an Analytics Engineer to join the team responsible for Upsides core data platform. Youll 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.

This is a great opportunity for someone whos 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.

Here are some ways we have seen analytics engineers drive impact at Upside:

• 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 assetsowning 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.

Why You Should Apply

This role is a good fit for you if:

• You arent 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.

Ideal Qualifications

• Have 2 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.

Preferred Qualifications

• Experience supporting machine learning workflows such as building features or monitoring model inputs and outputs.

• Familiarity with DevOps practices (e.g. CI/CD for data) data governance or FinOps (cost-conscious design).

• Experience working in a fast-growing startup environment or on platform-style teams that serve internal customers.

Engineering Culture:

We want our engineers to have the time and support to grow in their craft and contribute meaningfully to impactful technical decisions. Engineers are encouraged to focus deeply on their work collaborate effectively with team members and continuously develop their skills. Teams are thoughtfully staffed to create a dynamic and diverse environment that enhances learning and innovation.

Location:

This hybrid role is based in our Austin Chicago DC or NYC -office attendance is required on Monday Tuesday and Thursday and may increase based on project-based needs and changes to Upsides in-office policy over time.

Compensation:

The US base salary range for this full-time position is $130000 - $180000 equity benefits. The final starting pay will be determined based on job-related skills experience qualifications work location and market conditions. Your recruiter can share more about the specific salary range during the hiring process.

Benefits:

• Medical dental and vision coverage starting on Day 1

• Equity (ISOs)

• 401(k) program

• Family planning programs paid parental leave

• Physical fitness and wellness memberships

• Emotional and mental health support programs

• Unlimited PTO 10 paid federal holidays our annual week-long Winter Break

• Flexible work environment

• Lunch reimbursement for in-office employees

• Employee Resource Groups

• Learning and Development stipend

• Transparent culture

• Amazing mission!

Diversity and Inclusion:

Diversity drives innovation and our differences make us stronger. Were passionate about building a workplace that represents a variety of backgrounds skills and perspectives and we do not discriminate based on race religion color national origin gender sexual orientation age marital status veteran status or disability status. Everyone is welcome here!

If theres anything we can do to support a disability or special need during your application or interview process please email

This email is for accessibility accommodations only it should not be used to submit job applications.

Notice To Recruiters And Placement Agencies:

This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for and will not pay placement fees for candidates submitted by any party or agency other than its approved recruitment partners.

Required Experience:

Senior IC