Senior Growth Analyst - Calendars
New
J
JobgetherProductivity SaaS
UKFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years of experience
- Required Skills
- PythonSQLTableauProduct AnalyticsA/B testingBigQueryLookerR
Requirements
- 4+ years of experience in growth, product, or marketing analytics within a B2C or SaaS environment.
- Experience supporting user acquisition, pricing, monetization, or migration initiatives for subscription-based products.
- Strong SQL skills and experience with cloud data warehouses like BigQuery, Snowflake, or Redshift.
- Proficiency with visualization platforms such as Tableau or Looker.
- Experience with 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.
- Solid knowledge of marketing analytics, incrementality testing, statistics, and experimentation.
- Strong understanding of product analytics concepts (funnels, cohorts, retention, churn, and lifetime value).
- Proven ability to build self-serve analytics solutions and act as a strategic thought partner.
- Strong business acumen with the ability to translate complex analysis into clear recommendations.
Responsibilities
- Transform and analyze large datasets using BigQuery, Amplitude, and related tools to identify product and growth opportunities.
- Build and maintain self-serve reports and dashboards to provide reliable sources of truth for growth metrics.
- Define, document, and QA event structures for new features, campaigns, and experiments.
- Analyze user funnels across advertising, onboarding, engagement, purchases, and renewals to identify improvement opportunities.
- Design, sequence, and monitor A/B experiments and feature launches with statistical rigor.
- Collaborate with product and marketing teams to shape quarterly priorities and roadmap decisions based on data-driven insights.
- Develop forecasting and scenario models for key metrics like installs, conversion, retention, and revenue.
- Maintain data integrity across analytics pipelines and coordinate with measurement vendors to improve attribution.
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