Product Data Analyst III

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

📋 Description

• Collaborate with Product Managers to establish KPIs, evaluate success, and promote ongoing discovery practices.

• Examine product usage, customer behavior, and funnel performance to uncover trends and opportunities.

• Assist in experimentation and A/B testing initiatives by assessing outcomes and converting insights into actionable recommendations.

• Create and manage dashboards and reports using tools like Metabase and Amplitude.

• Conduct analyses that aid teams in enhancing product adoption, engagement, and retention.

• Work alongside cross-functional teams to ensure uniform metric definitions and reliable reporting.

• Utilize SQL, dbt, and analytics tools to process and analyze product data.

• Facilitate self-service analytics by instructing stakeholders on dashboards, reporting tools, and best practices.

• Clearly and effectively communicate complex findings to both technical and non-technical audiences.

• Contribute to cultivating a culture of experimentation, curiosity, and data-driven decision-making within Product and Engineering teams.

⛳️ Requirements

• Over 2 years of experience in product analytics, data analytics, or a related discipline.

• Proficient in SQL and experienced with modern analytics tools such as dbt, Metabase, Amplitude, Secoda, or similar platforms.

• Background in supporting product experimentation and A/B testing efforts.

• Strong analytical and problem-solving abilities with the capacity to translate complex data into actionable insights.

• Experience in developing dashboards, reports, and data visualizations for business stakeholders.

• Ability to effectively communicate findings to both technical and non-technical audiences.

• Comfortable operating in a fast-paced, collaborative product environment.

• Experience collaborating closely with Product and Engineering teams in a SaaS setting.

• Familiarity with cohort analysis, funnel optimization, and behavioral analytics.

• Background in statistics, experimentation methodology, or quantitative analysis.

• Enthusiasm for continuous learning, experimentation, and enhancing decision-making through data.

• A growth mindset focused on learning, embracing challenges, and ongoing improvement.

• A flair for creativity and innovation, contributing new ideas and solving complex issues.

🏝️ Benefits

• Meaningful equity.

• Additional benefits.