Product Analyst

Resident

9d•$80,000 - $110,000•Remote

About The Position

Resident partners with some of the world's most recognized retail brands to build the data infrastructure that powers modern commerce. As the first Product Analyst dedicated to our parent company, Ashley Furniture — one of the largest furniture retailers globally, with a presence spanning high-volume eCommerce and hundreds of physical stores — you will play a foundational role in shaping how data drives product and business decisions across Ashley's digital experience. This is a high-ownership role that blends hands-on analysis with strategic influence. You will define how success is measured, frame the right questions, and ensure data is used effectively to create real business impact. You will work remotely while collaborating closely with a globally distributed Data team, partnering day-to-day with colleagues to deliver meaningful, data-driven outcomes. The right candidate is both analytically rigorous and commercially minded. You understand that great analysis is only as valuable as the decisions it drives — and you take ownership of that full journey. You are confident presenting findings and recommendations to senior stakeholders, can navigate complex organizational dynamics with professionalism, and remain focused and constructive when your thinking is challenged. You thrive in fast-paced, high-standards environments where the bar is high and the work is consequential.

Requirements

BSc/BA in a highly quantitative field — Economics, Industrial Engineering, Statistics, Computer Science, or similar
3+ years of experience as a Product Analyst or Growth Analyst in a B2C environment
Proven experience in large-scale eCommerce or retail environments
Strong hands-on experience analyzing user behavior — funnels, segmentation, cohorts, churn, and LTV
Proven experience designing and analyzing A/B tests at scale
Advanced SQL skills with experience working across large, complex datasets
Strong ability to translate ambiguous business questions into structured analysis and clear, actionable insights
Confident communicator with the ability to present recommendations persuasively and engage constructively with challenge and debate
Experience working in cross-functional, global team environments

Nice To Haves

Data visualization and reporting tools — Tableau, Looker, Power BI, or similar
Experience with data infrastructure — event tracking, data pipelines
Python or R for advanced analytics
Familiarity with AI tools for data analysis and productivity

Responsibilities

Own and analyze the end-to-end user funnel — from discovery through to checkout — identifying opportunities to improve conversion, user experience, and revenue performance
Define KPIs and measurement frameworks for product initiatives and business performance, ensuring the right metrics are in place to drive meaningful decisions
Lead the design and analysis of A/B tests, including hypothesis definition, metric selection, and impact evaluation
Build and evolve the data foundations — event tracking, core metrics, and data definitions — in partnership with Data Engineering
Develop dashboards and monitoring tools that provide ongoing visibility into product and business performance
Conduct deep-dive analyses to identify trends, anomalies, and performance gaps, translating findings into clear, actionable recommendations
Serve as a trusted analytical voice within the business — actively shaping strategy, challenging assumptions where the data demands it, and influencing key decisions with well-reasoned, evidence-based narratives
Establish scalable methodologies for measuring product and business performance across online and offline channels
Partner closely with Product Managers and global stakeholders to prioritize opportunities and influence roadmap decisions
Apply statistical rigor to experimentation, including power analysis, sample size estimation, and result interpretation