Product Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with the Product Manager to develop product analytics for the core platform by defining essential metrics, events, funnels, and methodologies for assessing user experience.

• Design and uphold the event tracking framework, ensuring that data remains comprehensive, consistent, and reliable among product and technical teams.

• Uncover insights throughout user journeys, segments, and platform usage scenarios, while automating their regular identification.

• Create and refine dashboards, alerts, and analytics infrastructure utilized by product and engineering teams for daily decision-making.

• Provide data support for product hypotheses: corroborate concepts, assess feature impact, and assist in prioritizing the roadmap with solid evidence.

• Convert user behavior into clear, actionable recommendations, aiding teams across the organization in making data-informed decisions.

⛳️ Requirements

• 6-8 years of experience as a Product Analyst or Data Analyst in a product-focused IT company (experience in B2C platforms, SaaS, or marketplaces is advantageous).

• Proficient SQL skills with a strong ability to work with substantial datasets.

• Practical experience with product analytics tools (such as Amplitude, Mixpanel, GA4, or similar) and BI tools (like Tableau, Looker, Power BI, or similar).

• Comprehensive understanding of product metrics including activation, retention, conversion, funnels, cohorts, and unit-level user behavior.

• Experience in designing event taxonomies and establishing tracking from the ground up or significantly enhancing an existing setup.

• Familiarity with A/B testing and a foundational knowledge of statistics for evaluating experiments.

• Capability to transform ambiguous product queries into structured analyses and clear recommendations.

• Nice to Have: Proficiency in Python or R for analysis and automating recurring insights.

• Experience collaborating with platform/infrastructure products or technical stakeholders (engineers, architects).

• Background in developing analytics processes in a team where analytics previously did not exist.

• Excellent communication skills: ability to convey findings to both technical and non-technical stakeholders.

• Proactive and problem-solving mindset - comfortable navigating ambiguity in a fast-paced, dynamic environment.

🏝️ Benefits

• Health: company-sponsored medical expense reimbursement.

• AI solutions: access to AI subscriptions and various tools.

• Balance: Flexible paid time off policy - 21 days of annual leave plus 10 public holidays.