Senior Product Analyst, Consumer

Upside; Austin (TX); Hybrid; USD 130,000 - 175,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Equity (ISOs)

401(k) program

Flexible work environment

Lunch reimbursement

Job summary

Upside, a data-driven commerce platform, is seeking a Product Analytics professional to advance analytics, experimentation, and growth initiatives. Join a collaborative team embedded with product, engineering, and design to drive measurable impact.

You will build dashboards, run experiments, and inform strategy through robust data storytelling and rigorous analysis, enabling Upside to scale its product analytics capabilities.

Qualifications

• 5+ years of experience in product analytics, data science, or experimentation with cross-functional teams.
• Ability to partner with business stakeholders to influence roadmaps using data.
• Strong proficiency in SQL and/or Python to analyze large datasets.

Responsibilities

• Support the Consumer Product team with KPI reporting, OKRs, and product reviews.
• Design, launch, and analyze A/B tests with clear test plans and power calculations.
• Shape the product roadmap through exploratory analysis and hypothesis generation.

Skills

SQL

Python

Data visualization

Experimentation

Communication

Growth mindset

Tools

Looker

Hex

Figma

Segment

Mixpanel

Optimizely

Claude

Job description

Meet UpsideWe created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We’ve 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.

Meet UpsideWe created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We’ve 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.

Meet The Product Analytics TeamThe Product Analytics team is a collaborative group of data scientists, experimentation specialists, and analytics partners who use data to improve the Upside app experience and drive measurable growth. We\'re embedded across Upside’s consumer product team, where we shape strategy through deep analysis, robust experimentation, and thoughtful storytelling. We value curiosity, pragmatism, and a strong product intuition — always balancing speed with rigor to help Upside move faster and smarter. Our culture is inclusive, supportive, and grounded in the belief that great analysis starts with great teammates.

What You’ll Do

• 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 im\prove 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

Competencies You\'ll Need

• 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\\u2019ll 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

The Fine Print

Location: This hybrid role is based in our Austin, Chicago, DC, or NYC office. In-office attendance is required on Monday, Tuesday, and Thursday and may increase based on project-based needs and changes to Upside’s in-office policy over time.

Compensation: The U.S. base salary range for this full-time position varies by work location:

• Tier 1: NYC $145,000 – $175,000
• Tier 2: Austin, Chicago, Washington, DC $130,000 – $160,000

In addition to base salary, this position is also eligible for equity and 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 for your location 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. We\'re 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 there\'s anything we can do to support a disability or special need during your application or interview process, please email [e-mail].

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