Senior Data Analyst – Product Analyst

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

📋 Description

• Collaborate with Product, Marketing, and Leadership teams to pinpoint opportunities, shape product strategy, and guide business decisions through data insights.

• Conduct comprehensive product and growth analyses, covering funnel analysis, cohort analysis, retention strategies, segmentation, monetization, and experimentation.

• Establish success metrics and assess the effects of new features, experiments, and product initiatives.

• Create dashboards, regular reports, and self-service analytics solutions.

• Work alongside engineers to design, implement, validate, and sustain product event tracking in React-based interfaces.

• Detect and resolve tracking issues that impact data integrity.

• Consolidate data from Amplitude, Google Ads, Meta Ads, payment systems, CRM, and other sources to provide a cohesive business overview.

• Maintain documentation for key metrics, tracking plans, and data definitions.

⛳️ Requirements

• A BA/BS degree or higher in a relevant field or equivalent professional experience is required.

• A minimum of 3 years of experience in data science, data analytics, or similar quantitative roles.

• Proven history of successfully executing data analytics projects.

• Familiarity with product analytics, experimentation, funnel analysis, retention strategies, and user behavior analysis.

• Experience in event tracking instrumentation and collaborating with engineering teams to ensure the accuracy and maintenance of analytics implementations.

• Proficient in managing real-time and historical data, including data cleaning, processing, analysis, modeling, insights delivery, and execution strategies.

• Skilled in data queries and statistical programming tools such as SQL, R, and Python.

• Knowledge of product and marketing analytics tools like Amplitude and Google Analytics.

• Strong analytical and problem-solving capabilities with a keen eye for detail.

• Ability to communicate complex analyses through visualization and storytelling to both technical and non-technical audiences.

• A self-starter who excels in a start-up environment with strong follow-through skills.

• Preferred: experience in optimizing data pipelines, data storage, and analytical frameworks.

• Preferred: familiarity with event tracking technologies such as JavaScript and Google Tag Manager.

🏝️ Benefits

• Competitive compensation package.

• Equity options.

• Unlimited paid time off (PTO).

• Health budget.

• Wellness budget.

• Training budget.

• Global remote work flexibility.

• Chance to have a direct impact on the future of no-code and AI-driven app development.