Hybrid Senior Data Science Analyst

Posted 50 minutes ago

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About the role

  • Senior Data Science Analyst at ELSA, focusing on data-driven strategies and customer analytics. Collaborating with teams to optimize B2C and B2B initiatives in a hybrid working environment.

Responsibilities

  • Partner with B2C or B2B stakeholders to define KPIs, track performance, and identify growth levers
  • Design and analyze A/B tests to measure the impact of new features, pricing changes, or marketing campaigns
  • Use Python/R to develop models for customer health, churn probability, or lead scoring
  • Build and maintain scalable data models in Snowflake and intuitive dashboards in Looker
  • Synthesize raw data into clear narratives for leadership, providing actionable recommendations

Requirements

  • 4–7+ years in Data Science, Product Analytics, or Growth Analytics
  • Expert SQL (Window functions, CTEs) and proficiency in Python or R for statistical modeling
  • Strong grasp of A/B testing, hypothesis testing, and causal inference
  • Experience with modern BI (Looker, Tableau) and Event Analytics (Amplitude, Mixpanel)
  • Proven ability to influence stakeholders (like Marketing or Success Leads) through data
  • Preferred: Experience with Snowflake or similar cloud data warehouses
  • Preferred: Background in SaaS or Subscription business models
  • Preferred: Familiarity with Git-based workflows (dbt/GitHub)

Benefits

  • 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
  • Free ELSA Premium courses to polish your language skills
  • Annual company trips and quarterly happy hours

Job title

Senior Data Science Analyst

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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