Senior Product Analyst, Consumer

About the role

You will own the measurement framework that turns consumer behavior into actionable product insight, defining how success is quantified across the Upside app. You will act as the analytical partner for the consumer product team, translating ambiguous business questions into rigorous experiments that de-risk roadmap choices. Your work will directly influence which features ship, how they are designed, and how they perform once released to millions of users. You will balance the speed of execution with the rigor of analysis, ensuring that every decision is backed by evidence rather than intuition. You will craft narratives that make complex data accessible to non-technical stakeholders, aligning the team around a shared understanding of product health. You will champion a culture of curiosity, where testing assumptions is valued as highly as proving them right. You will be the steward of data quality, ensuring that the events and properties powering our dashboards are trustworthy and reliable.

Key facts

What you'll do

• Partner with product managers to define and own the North Star metrics and KPIs that determine the success of new consumer features.
• Design and analyze A/B tests from conception through execution, writing clear test plans, calculating statistical power, and mapping experiment swimlanes to ensure valid results.
• Conduct deep-dive root-cause analyses on product performance regressions, using pre/post and cohort investigations to uncover the underlying drivers of change.
• Build and maintain intuitive dashboards in Looker and Hex that bring clarity to complex user journeys, enabling stakeholders to monitor health in real time.
• Create foundational data models that standardize how we analyze product flows and funnels, reducing redundant work and ensuring consistency across teams.
• Forecast the revenue impact of product initiatives, then conduct post-mortems to measure actual impact versus estimates, improving our planning discipline over time.
• Instrument and document new events and properties in Segment and Figma, partnering with engineering to ensure clean, queryable data capture.
• Leverage AI tools to automate repetitive analysis tasks and design context-rich workflows, freeing up time for high-impact strategic thinking.
• Synthesize analytical findings into compelling stories that guide product decisions, balancing statistical nuance with clear recommendations.
• Act as the central analytics partner for the consumer product team, providing proactive support during product reviews and OKR planning sessions.
• Drive experimentation best practices across the organization, mentoring peers on power calculations, metric selection, and interpretation.
• Own the end-to-end analysis of product launches, from hypothesis to final impact assessment, ensuring learnings are captured and shared.
• Maintain a bias for action by rapidly prototyping analyses in SQL and Python to answer urgent questions without sacrificing rigor.
• Collaborate cross-functionally with growth, marketing, and design to ensure analytics informs every major product decision.

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.
• You are legally authorized to work in the United States without sponsorship, as we are unable to sponsor roles at this time.
• You are currently located in or willing to relocate to one of our US office cities, with a requirement to be in-office on Monday, Tuesday, and Thursday.
• Your prior experience includes working with modern product analytics stacks that include Mixpanel, Snowflake, and experimentation platforms.
• You have a track record of owning analytical projects end-to-end, from scoping through execution and communication.

Nice to have

• Experience contributing to sustainability-focused initiatives or marketplaces.
• Background working with brick-and-mortar or omni-channel commerce problems.
• Familiarity with financial modeling and attribution in retail environments.

Practical notes

This role is based in New York and requires in-office presence on Monday, Tuesday, and Thursday. Compensation for the New York location falls within Tier 1 of the specified range. Eligibility for equity and benefits applies to this position. The final starting pay will be determined based on job-related skills, experience, and role complexity. No sponsorship is available for this role.