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Senior Growth Analyst - Calendars
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2026-10-02
Listing for:
readdle70
Full Time
position Listed on 2026-10-02
Job specializations:
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
Role overview
Own the analytics foundation for the growth of a subscription-based calendar product. This role combines product, marketing, and monetization analysis to uncover opportunities across the customer journey, improve measurement, and guide prioritization with evidence.
Responsibilities- Analyze large datasets to identify trends, anomalies, funnel drop-offs, retention opportunities, and revenue drivers.
- Build and maintain self-service dashboards and reports that establish trusted growth metrics for product and marketing teams.
- Define, document, and quality-check event tracking for features, campaigns, and experiments.
- Measure acquisition, onboarding, usage, purchasing, cancellation, pricing, and migration journeys.
- Design and monitor A/B tests and launches, validating results with sound statistical methods and long-term impact tracking.
- Develop forecasts and scenario models for installs, conversion, retention, and revenue, while proactively presenting hypotheses and recommendations.
- At least four years of experience in growth, product, or marketing analytics, ideally in a consumer or subscription software environment.
- Strong SQL skills and experience with Big Query or a comparable cloud data warehouse.
- Experience creating dashboards and complex visualizations with tools such as Tableau or Looker, plus product analytics platforms such as Amplitude, Mixpanel, Heap, Hotjar, or Post Hog.
- Understanding of funnels, cohorts, retention, attribution, experimentation, segmentation, churn, lifetime value, and subscription monetization.
- Ability to work with marketing attribution systems and, ideally, Python or R for analysis and automation.
- Strong communication and business judgment, with the ability to act as a strategic partner to product, marketing, and engineering stakeholders.
- Experience with causal inference, quasi-experiments, econometrics, incrementality testing, marketing mix modeling, machine learning, or time-series forecasting.
Position Requirements
10+ Years
work experience
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