Our B2B flagship platforms ELSA Enterprise and ELSA Schools empower organizations and educational institutions to elevate communication capabilities and unlock personal and professional opportunities for their people. We design engaging, bite-sized learning experiences that adapt to each learner's goals and context, ensuring measurable improvement and lasting confidence.

Our vision is to become the global standard for real-time English communication training, enabling 1.5 billion language learners worldwide to speak clearly, be understood, and share their stories with the world.

Backed by world-class investors including Googles Gradient Ventures, Monks Hill Ventures, and SOSV, ELSA has been recognized among the top global AI innovators:

• Forbes Top 4 Companies Using AI to Transform the World
• Research Sniper Top 5 Best AI Apps
• ASU+GSV EdTech 150
• CB Insights Top 100 AI Companies

Join us in shaping the future of language learning and empowering millions to unlock opportunity through confident communication.

Role Summary

We are looking for a Senior Data Science Analyst to join our core Data team. This is a high-impact, generalist role designed for someone who thrives on ambiguity and can translate complex data into strategic decisions. You will initially be deployed to solve high-priority challenges in either B2C Marketing (optimizing acquisition and LTV) or B2B Customer Success (driving retention and product adoption). You won't just build dashboards; you will design the experimentation frameworks and predictive models that define our in-house data strategy.

Key Responsibilities:

• Cross-Functional Analytics: Partner with B2C or B2B stakeholders to define KPIs, track performance, and identify growth levers.
• Experimentation & Statsig Ownership: Design and analyze A/B tests to measure the impact of new features, pricing changes, or marketing campaigns.
• Behavioral Modeling: Use Python/R to develop models for customer health, churn probability, or lead scoring to help the Success and Marketing teams prioritize their efforts.
• Self-Serve Ecosystem: Build and maintain scalable data models in Snowflake and intuitive dashboards in Looker that empower non-technical teams to find their own answers.
• Strategic Storytelling: Synthesize raw data into clear narratives for leadership, providing actionable recommendations that go beyond "what happened" to "what we should do next."

What You Will Have:

• Experience: 4–7+ years in Data Science, Product Analytics, or Growth Analytics.
• Technical Stack: Expert SQL (Window functions, CTEs) and proficiency in Python or R for statistical modeling.
• Statistical Rigor: Strong grasp of A/B testing, hypothesis testing, and causal inference.
• Tooling: Experience with modern BI (Looker, Tableau) and Event Analytics (Amplitude, Mixpanel).
• Communication: Proven ability to influence stakeholders (like Marketing or Success Leads) through data.

Preferred Qualifications

• Experience with Snowflake or similar cloud data warehouses.
• Background in SaaS or Subscription business models.
• Familiarity with Git-based workflows (dbt/GitHub).

Why You’ll Love Working Here

• Attractive Package salary
• Working time: Mon-Fri (9am 6pm), Hybrid model 1 remote working day on Fridays
• 12 days Annual leave, 1 Birthday leave, 1 Christmas leave
• Premium health insurance (Generali) and annual health check-up to keep you in top shape
• Full social insurance
• Free ELSA Premium courses to polish your language skills
• Annual company trips and quarterly happy hours work hard, play hard!
• Experience the true spirit of a fast growing and well funded Silicon Valley startup