Product Data Analyst III

📋 Description

• Collaborate with Product Managers to establish KPIs, assess success, and enhance ongoing discovery methodologies.

• Evaluate 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.

• Construct and sustain dashboards and reports using tools such as Metabase and Amplitude.

• Create analyses that aid teams in boosting product adoption, engagement, and retention.

• Work alongside cross-functional teams to guarantee consistent metric definitions and reliable reporting.

• Utilize SQL, dbt, and analytical tools to transform and scrutinize product data.

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

• Convey complex findings in a clear and effective manner to both technical and non-technical audiences.

• Promote a culture of experimentation, curiosity, and data-driven decision-making throughout Product and Engineering teams.

⛳️ Requirements

• Over 2 years of experience in product analytics, data analytics, or a similar domain.

• Proficient SQL skills and experience with contemporary analytics tools such as dbt, Metabase, Amplitude, Secoda, or comparable platforms.

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

• Strong analytical and problem-solving abilities with a talent for transforming complex data into actionable insights.

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

• Capable of clearly communicating findings to both technical and non-technical audiences.

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

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

• 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 striving for continuous improvement.

• A creative and innovative approach, bringing fresh ideas to the table and tackling complex problems.

🏝️ Benefits

• Meaningful equity

• Health insurance

• Paid time off

• Flexible work arrangements

• Professional development opportunities