Senior Growth Analyst - Calendars

Jobgether SRL; Lavamünd; Vor Ort; EUR 106.000 - 149.000; Vollzeit

Benefits dieser Stelle

Customer-centric culture

Direct influence on growth strategy

Professional growth and learning

Cross-functional collaboration

Measured business impact

Zusammenfassung

Jobgether SRL is seeking a Senior Growth Analyst focused on calendars, based in Switzerland. You will own data and insights across the customer journey, driving growth for a leading productivity product.

Collaborate with product, marketing, and engineering to turn complex data into actionable recommendations. Responsibilities include building self-serve dashboards, designing experiments, forecasting key metrics, and maintaining data integrity across tools.

Qualifikationen

• Experience in growth, product, or marketing analytics for B2C or SaaS.
• Ability to support user acquisition, pricing, monetization, or migration initiatives for subscription products.
• Strong SQL and hands-on with cloud data warehouses (BigQuery, Snowflake, Redshift).
• Proficiency with BI/analytics tools (Tableau, Looker) and product analytics tools (Amplitude, Mixpanel, Heap, Hotjar, PostHog).
• Experience with marketing attribution tools (AppsFlyer, Adjust, Kochava).
• Familiarity with Python or R for data analysis and automation; ML or time-series knowledge is a plus.
• Solid understanding of funnels, cohorts, retention, event tracking, segmentation, churn, and LTV.
• Ability to translate data into actionable business recommendations.

Aufgaben

• Transform and analyze large datasets to identify growth opportunities across the user journey.
• Build self-serve reports and dashboards as a single source of truth for stakeholders.
• Define and QA event structures for features, campaigns, and experiments; support monetization and migration tracking.
• Analyze funnels across advertising, onboarding, engagement, purchases, cancellations, and renewals.
• Design, run, and monitor A/B tests and feature launches with robust statistical tracking.
• Identify insights and growth opportunities; collaborate with product/marketing on quarterly roadmaps.
• Develop forecasting and scenario models for installs, conversion, retention, revenue, and other KPIs.
• Maintain data integrity across analytics tools and pipelines; work with measurement vendors.

Kenntnisse

SQL proficiency

BigQuery

Tableau/Looker

Amplitude/Mixpanel

A/B testing

Forecasting

Python or R

Tools

BigQuery

Snowflake

Redshift

Tableau

Looker

Amplitude

Mixpanel

Heap

Hotjar

PostHog

AppsFlyer

Adjust

Kochava

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Growth Analyst - Calendars based in Switzerland.

As a Senior Growth Analyst, you will own the data and insights that drive the growth of a leading productivity product.

You will analyze the full customer journey, from acquisition and onboarding through engagement, monetization, retention, and renewal.

The role combines advanced analytics, experimentation, forecasting, and measurement to uncover meaningful growth opportunities.

You will build reliable reporting systems and dashboards that give product and marketing teams a clear source of truth.

Your insights will directly inform quarterly priorities, product decisions, pricing strategies, and growth initiatives.

Working closely with product, marketing, and engineering teams, you will turn complex data into actionable recommendations.

This is an opportunity to make a measurable impact in a highly collaborative, customer-focused, and innovation-driven environment.

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.