Senior Product Analyst, Consumer

Upside•New York, NY

1d•$130,000 - $175,000•Hybrid

About The Position

Upside aims to revolutionize brick-and-mortar commerce by integrating the analytical sophistication of online retail, such as profit measurement, attribution, and incrementality, to offer enhanced value to consumers on their everyday purchases and attract new, profitable customers to brick-and-mortar businesses. The company has enabled millions of users to earn significantly more cashback than other platforms and has helped numerous businesses achieve measurable profit. Billions of dollars in commerce flow through the Upside platform annually, benefiting retailer partners, consumers, and sustainability initiatives. The Product Analytics team is a collaborative unit comprising data scientists, experimentation specialists, and analytics partners. This team leverages data to enhance the Upside app experience and drive measurable growth. Embedded within Upside’s consumer product team, they influence strategy through in-depth analysis, rigorous experimentation, and effective communication. The team values curiosity, pragmatism, and strong product intuition, striving to balance speed with accuracy to facilitate faster and more informed decision-making at Upside. Their culture is inclusive and supportive, built on the principle that high-quality analysis is a result of strong teamwork.

Requirements

5+ years of experience in product analytics, data science, or experimentation - ideally within a cross-functional product team
Demonstrated ability to partner closely with business stakeholders to influence roadmaps and make data-driven decisions
Strong proficiency in SQL and/or Python to organize and analyze multiple large datasets - we use Snowflake
Comfort with data visualization tools - we use Looker and Hex
Familiarity with event-based product analytics and the art of defining meaningful events and properties - we use Figma, Segment, and Mixpanel
Experience designing, launching, and analyzing A/B tests — including power analysis, user bucketing, and success metrics - we use Optimizely
Growth mindset and genuine curiosity about learning new AI tools, designing agentic workflows, and sharing what works. You’ll help build reusable capabilities that make our team, division, and company more effective - we use Claude
Thoughtful perspective on experimentation strategy and growth — you understand not just what happened, but why it matters
Strong written and verbal communication skills — can explain statistical results to non-technical audiences and guide decision-making
Comfort working in a fast-paced, iterative environment — balancing rigor and speed while maintaining a bias for action
A collaborative, low-ego working style — you thrive in a team that values shared wins, deep curiosity, and candid feedback

Responsibilities

Support the Consumer Product team with KPI reporting, setting OKRs, and preparing for regular product reviews
Design, launch, and analyze A/B tests across the Upside consumer app in collaboration with product managers, engineers, and designers including clear test plans, power calculations, and experiment swimlanes
Shape the product roadmap through exploratory analysis and hypothesis generation grounded in our growth objectives
Conduct root-cause investigations and pre/post analyses to understand the “why?” behind user behavior and product performance
Contribute to forecasting by estimating and then measuring the revenue impact of product initiatives
Build intuitive dashboards and data products that bring clarity to complex user journeys and product KPIs
Partner with Product and Engineering to define, QA, and document events and properties that enable product analytics, ensuring robust instrumentation for experimentation and monitoring
Create foundational data models that streamline analysis, monitoring, and investigation of our product flows and funnels
Leverage AI tools to design, automate, and continuously improve context-rich workflows across experimentation, analysis, forecasting, and planning to reduce repetitive work and improve decision quality while keeping human judgment at the center of important analytical decisions.
Bring curiosity, initiative, and strong product thinking to help us scale experimentation and analytics best practices across Upside