Senior Growth Analyst

What will you do

• Transform and analyze large datasets in BigQuery and Amplitude to discover product and growth opportunities, trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve reports that enable stakeholders to answer key questions with data and establish a clear source of truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design, sequence, and monitor A/B experiments and feature launches; validate results and ensure statistical rigor and consistent long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with discoveries from data and impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with measurement vendors to meaningfully track attribution and optimize acquisition reporting.

About you

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience working on user acquisition, pricing, monetization, and/or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses, such as Redshift or Snowflake; proficiency in Tableau, Looker, or similar tools for reporting, complex data visualization, and product analytics.
• Experience with Amplitude, Mixpanel, Heap, Hotjar, or PostHog for event/property tracking and user journey tracking.
• Experience with marketing attribution platforms such as Appsflyer, Adjust, or Kochava; familiarity with Python or R for data analysis and automation. Experience with ML or time-series inference is a strong plus.
• Solid understanding of product analytics, including funnels, cohorts, retention, and event tracking; marketing analytics, including attribution, MMM, and incrementality testing; statistics; experimentation; segmentation; and churn or LTV modeling. Advanced analytics experience, such as causal inference, quasi-experiments, linear programming, or econometrics, is highly advantageous.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Solid business acumen and comfort working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.

What you will get

• Customer-centric culture: engage directly with customers and use insights to shape meaningful experiences for millions worldwide.
• Relentless growth: take ownership of work, decisions, and outcomes, using feedback to learn, evolve, and raise the bar.
• Exceptional people and team: work transparently, care for teammates, and celebrate collective success in an environment designed for high-quality work and growth.
• Real impact: deliver tangible value, simplify complexity, push boundaries, and continuously improve solutions for users.
• Culture of innovation: contribute fresh ideas that are welcomed, celebrated, and turned into product innovations.