Resident

Retail

ProductAnalyst

$80–110k United States Remote Friendly
The Brief

“Product Analyst at Resident. Skills: Product analysis, A/B testing, SQL, Data visualization. Analyze end-to-end user funnel. Identify opportunities to improve conversion”

What You'll Achieve.

Improve conversion; Improve user experience; Improve revenue performance; Drive meaningful decisions; Create real business impact; Provide ongoing visibility into product and business performance; Influence key decisions; Influence roadmap decisions

Industry & Context.

Retail
Problems you'll solve

Translate ambiguous business questions into structured analysis; Identify trends, anomalies, and performance gaps

Eligibility Requirements

Reside and be authorized to work within the United States, Work during Eastern Stand Time business hours

What They're Looking For.

Must Have

BScA in a highly quantitative field, 3+ years of experience as a Product Analyst or Growth Analyst, Proven experience in large-scale eCommerce or retail environments, hands-on experience analyzing user behavior, Proven experience designing and analyzing A tests at scale, Advanced SQL skills, experience working across large, complex datasets, ability to translate ambiguous business questions into structured analysis, clear, actionable insights, Confident communicator, ability to present recommendations persuasively, engage constructively with challenge and debate, Experience working in cross-functional, global team environments

Nice to Have

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

What You'll Do.

Analyze end-to-end user funnel

Identify opportunities to improve conversion

Define KPIs and measurement frameworks

Lead design and analysis of A tests

Build and evolve data foundations

Develop dashboards and monitoring tools

Conduct deep-dive analyses

Translate findings into actionable recommendations

Establish scalable methodologies

Partner closely with Product Managers

Apply statistical rigor to experimentation

How You'll Work.

Team & Collaboration

Collaborating closely with a globally distributed Data team; Partnering day-to-day with colleagues; Work closely with Product Managers; Partner closely with global stakeholders

Communication Scope

Confident communicator; Present recommendations persuasively; Engage constructively with challenge and debate; Evidence-based narratives

Free ATS check

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