Middle Product Analyst

Stellartech Research Corporation

Middle Product Analyst working with product managers and analysts at StellarTech. Contributing to product metrics, insights, and AI-assisted workflows for a scalable EdTech company.

Posted 7/10/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Translate user behavior into clear, actionable recommendations and help product teams make data-driven decisions.
Support product hypotheses with data: validate ideas, evaluate feature impact, and help prioritize the roadmap with evidence.
Analyze funnels, retention, activation, monetization, and other key product metrics to identify growth opportunities and product risks.
Design and evaluate A/B tests: help frame the research question, define success metrics, estimate sample sizes, monitor experiment performance, and interpret outcomes.
Create, maintain, and evolve dashboards, alerts, and analytical tools used by product teams for day-to-day decision-making.
Contribute to AI-assisted analytics workflows that help product teams test hypotheses faster, access relevant metrics more easily, and turn data into product decisions with less manual effort.

Requirements

What you’ll need

3+ years of experience as a Product Analyst or Data Analyst in a product-led tech company.
Experience with B2C platforms, SaaS, or marketplaces is a plus.
Strong SQL skills and confidence working with large datasets.
Hands-on experience with product analytics tools such as Amplitude, Mixpanel, GA4, or similar, and BI tools such as Tableau, Looker, Power BI, or similar.
Solid understanding of product metrics: activation, retention, conversion, funnels, monetization.
Experience with A/B testing and a working knowledge of statistics for experiment evaluation.
Ability to turn ambiguous product questions into structured analyses and clear recommendations.
Strong communication skills: ability to explain findings clearly to both technical and non-technical stakeholders.
Nice to Have: Python or R for analysis and automation of recurring insights.
Proactive, problem-solving mindset — comfortable with ambiguity in a fast-paced, evolving environment.

Benefits

Comp & perks

Health support: We offer medical expense compensation.
Work-life balance: You’ll have flexible paid time off, including 21 days of annual leave plus 10 bank holidays.
AI-enabled workflow: We provide access to AI subscriptions and modern tools to help you work faster, automate routine tasks, and focus on higher-impact analytical work.
Collaborative culture: You’ll work with product-minded, curious, and driven people who value ownership, clear communication, and data-driven decisions.
Remote-first setup: We’re a global remote team, with regular overlap for collaboration.

ATS Keywords

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Hard Skills & Tools

Data AnalysisProduct MetricsStatistical AnalysisExperiment EvaluationData-Driven Decision Making

Soft Skills

Strong CommunicationProblem-Solving Mindset