Senior Growth Analyst - Calendars

Accountabilities:

• Transform and analyze large datasets using BigQuery, Amplitude, and related tools to identify product and growth opportunities, trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve reports and dashboards that help stakeholders answer key business questions and establish reliable sources of truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments while developing robust measurement systems for monetization, pricing, and migration initiatives.
• Analyze user funnels across advertising, app stores, onboarding, in-product engagement, purchases, cancellations, and renewals to identify drop-offs and opportunities for improvement.
• Design, sequence, and monitor A/B experiments and feature launches, validating results with appropriate statistical rigor and tracking long-term impact.
• Proactively identify insights, hypotheses, and growth opportunities and collaborate with product and marketing teams to shape quarterly priorities and roadmap decisions.
• Develop forecasting and scenario models covering installs, conversion, retention, revenue, and other key growth metrics.
• Maintain data integrity across analytics tools and pipelines through established QA processes and collaborate with measurement vendors to improve attribution and acquisition reporting.

Requirements:

• 4+ years of experience in growth, product, or marketing analytics within a B2C or SaaS environment.
• Experience supporting user acquisition, pricing, monetization, migration, or other growth initiatives for subscription-based products.
• Strong SQL skills and experience with BigQuery or comparable cloud data warehouses such as Snowflake or Redshift.
• Proficiency with reporting and visualization platforms such as Tableau or Looker and product analytics tools such as Amplitude, Mixpanel, Heap, Hotjar, or PostHog.
• Experience with marketing attribution platforms such as AppsFlyer, Adjust, or Kochava.
• Familiarity with Python or R for data analysis and automation; experience with machine learning or time-series inference is a strong advantage.
• Strong understanding of product analytics, including funnels, cohorts, retention, event tracking, segmentation, churn, and lifetime value.
• Solid knowledge of marketing analytics, attribution, marketing mix modeling, incrementality testing, statistics, and experimentation.
• Advanced analytics experience involving causal inference, quasi-experiments, econometrics, linear programming, or similar methodologies is highly advantageous.
• Proven ability to build self-serve analytics solutions and act as a strategic thought partner to product and marketing teams rather than simply responding to reporting requests.
• Strong business acumen with the ability to translate complex analysis into clear recommendations and measurable business outcomes.
• Proactive, curious, collaborative, and coachable mindset, with the ability to work effectively across product, marketing, and engineering teams.

Benefits:

• Customer-centric culture focused on creating meaningful experiences for millions of users.
• Opportunity to directly influence product, marketing, monetization, and growth strategies through data-driven insights.
• Strong focus on professional growth, ownership, continuous learning, and feedback.
• Collaborative environment with experienced and supportive cross-functional teams.
• Opportunity to work on products with tangible, measurable impact.
• Culture that encourages curiosity, creativity, experimentation, and innovation.
• Exposure to advanced analytics, experimentation, product growth, subscription economics, and large-scale customer data.
• Opportunity to contribute to strategic decisions and help shape the future direction of a widely used productivity product.