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Senior Data Analyst, Storefront

QuincePalo Alto, California, United StatesData Science
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Salary
$150K — $200K USD
Job type
Full-time
Experience
Senior · 5+ yrs
Posted
9 Oct 2026
Status
Open · checked 7d ago

About this role

Based in Palo Alto, California, United States, the Senior Data Analyst position at Quince involves managing analytics for the storefront ecosystem. This role suits a hands-on quantitative specialist who enjoys fast-paced retail technology environments.

Role Overview

Quince seeks a Senior Data Analyst for its Storefront team located in Palo Alto, California. The professional in this position will collaborate across cart, checkout, post-purchase operations, and accounts to measure performance and guide future development.

Key Responsibilities

Manage end-to-end analytics and data science support for cart, checkout, returns, exchanges, and accounts from problem definition to statistical modeling.
Design and execute experiments such as A/B tests and holdouts, managing sizing, guardrail metrics, and post-test analyses.
Implement causal inference techniques including difference-in-differences, synthetic control, and incrementality testing when randomized tests are unavailable.
Conduct funnel diagnostics and root-cause analysis for cart abandonment, checkout drop-off, and account engagement segmented by device, traffic source, geography, and cohort.
Collaborate directly with Product, Engineering, and Design teams to prioritize hypotheses and translate findings into clear requirements.
Create and maintain primary metrics and self-serve dashboards for storefront key performance indicators while monitoring for regressions and anomalies.
Write and maintain SQL and Python pipelines for personal analyses and collaborate with Data Engineering on event instrumentation and data quality.
Utilize AI and LLM-powered workflows to accelerate analysis and automate anomaly narratives.
Communicate data-driven insights through storytelling to cross-functional stakeholders and leadership.

Requirements

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Math, or a related quantitative field.
Minimum of 5 years of experience as a data scientist or quantitative analyst within a consumer-facing product, e-commerce, or marketplace team.
Hands-on proficiency in Python and SQL for daily writing and debugging.
Strong background in statistics and experimentation, including hypothesis testing, regression, experiment design, and causal inference methods.
Demonstrated history of scoping and conducting experiments from design to decision-ready readouts.
Experience utilizing business intelligence and visualization tools like Looker or Mixpanel to build self-serve dashboards.
Familiarity with AI-assisted tools and LLMs for analytical and engineering workflows.
Strong written and verbal communication skills to translate ambiguous problems into clear analytical plans.
Ability to handle ambiguity, messy data, and a fast-moving startup environment.

Skills and Tools

Python
SQL
Looker
Mixpanel
LLMs and AI-assisted tooling
Statistical modeling
Causal inference methods
A/B testing and experimentation

Salary and Benefits

Base salary range from $150,000 to $200,000 USD
Bonus and equity eligibility for applicable roles
Equal employment opportunity policies and reasonable accommodations for qualified individuals with disabilities

About the Company

Quince operates a manufacturer-to-consumer model that eliminates traditional retail layers to provide high-quality essentials at lower prices. The brand spans apparel, accessories, home goods, and other categories, utilizing proprietary technology, data, and analytics to scale operations.

How to Apply

To apply for this position, please visit the official company careers page.

Skills and tech stack

PythonSQLLookerMixpanelLLMsLLM

Questions candidates ask

Where is the Senior Data Analyst position located?

The role is located in Palo Alto, California, United States.

What is the salary range for this role?

The base salary ranges from $150,000 to $200,000 USD, with potential bonus and equity available for eligible roles.

How many years of experience are required?

Candidates must have 5+ years of experience as a data scientist or quantitative analyst.

What educational background is needed?

A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Math, or a related quantitative field is required.

What programming languages are used daily in this role?

Python and SQL are used daily for writing and debugging pipelines and analyses.

Ready to apply?

The application is on the official Quince careers page.

Apply on company site