Product Analyst

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

📋 Description

• Implement a data-as-a-service strategy for the Product team.

• Ensure data is easily accessible, comprehensible, and actionable for decision-making.

• Collaborate with Product and cross-functional teams to define product metrics.

• Design report structures that are visually appealing and easy to interpret.

• Automate reporting processes using Looker.

• Assess the impact of product features and growth experiments on conversion rates, active subscriptions, and customer lifetime value.

• Conduct ad hoc analyses on usage spikes, conversion declines, and other emerging data trends.

• Transform reports and research findings into actionable insights.

• Develop and maintain analytical tools and services, incorporating LLM-powered automation.

• Empower the Product team to address inquiries independently without relying on an analyst.

• Present insights clearly and substantiate them with data.

• Introduce innovative technologies, methodologies, and AI tools into the workflow.

• Report directly to the Product Analytics Lead.

⛳️ Requirements

• Over 3 years of experience in data analytics.

• Proven track record in delivering analytical solutions for intricate product-related challenges, including user behavior research, experimentation support, feature analysis for metric enhancement, and use-case evaluations.

• An understanding of overall business value, extending beyond mere numbers and charts.

• Strong grasp of statistical methods and the application of quantitative analysis to influence critical decisions.

• Advanced experience in A/B testing, encompassing design, execution, and analysis of complex experiments.

• Familiarity with variance reduction, sequential testing, multiple comparisons, sample ratio mismatch checks, and heterogeneous treatment effects.

• Proficient in causal inference methods beyond A/B testing, with knowledge of when each method's assumptions are applicable.

• Practical experience in applying machine learning to product challenges such as churn and propensity modeling, uplift modeling, segmentation, or recommendations.

• Experience in transitioning a machine-learning model from analysis to an operational component of a product or decision-making process.

• Proficient in writing SQL queries and handling large datasets.

• Familiarity with product analytics and BI tools such as GA, Mixpanel, Amplitude, Looker, Tableau, or similar platforms.

• Strong programming skills in Python, including experience with packaged code, version control, testing, APIs, and scheduled pipelines.

• Active engagement with LLMs to enhance coding efficiency and automate analytical processes.

• Excellent written and verbal communication skills.

• Proficiency in English at an upper-intermediate level or higher.

• Applications are accepted from overseas candidates only; non-U.S. applicants exclusively; domestic U.S. applications will not be considered.

🏝️ Benefits

• Competitive base salary.

• Bonus program.

• Remote-first work environment.

• Paid time off.

• A fun, creative, and energetic workplace.