Data Analyst

We are looking for a Data Analyst with strong analytical and technical skills to support data-driven decision making across cross-functional product teams.

Key responsibilities

• Analyze large-scale datasets using Python and PySpark to generate actionable insights.

  
  

• Design, execute, and evaluate experiments (A/B testing, holdouts) to measure product and operational impact.

  
  

• Apply statistical methods and causal inference techniques to quantify true business impact and avoid misleading conclusions.

  
  

• Translate complex analyses into clear insights and recommendations for product, engineering, and business stakeholders.

  
  

• Partner closely with product managers, engineers, data scientists, and operations teams to support end-to-end decision making.

  
  

• Proactively identify data issues, opportunities, and improvement areas, and drive follow-ups independently.

Required skills & experience

• Master degree

  
  

• Driven and results oriented personality

  
  

• Open to feedback and always looking for ways to improve own performance

  
  

• Able to understand details while keeping an eye on the bigger picture.

  
  

• Able to spot opportunities to drive business growth from their craft.

  
  

• Analytical and curious mindset

  
  

• Strong interpersonal skills

  
  

• Open and friendly attitude

• Strong proficiency in Python (pandas, numpy, statistical libraries) and PySpark for large-scale data processing.

  
  

• SQL-based analytics platforms and dashboarding tools.

  
  

• Solid foundation in statistics, including hypothesis testing, confidence intervals, and regression analysis.

  
  

• Hands-on experience with experiment design and impact measurement.

  
  

• Understanding of causal inference concepts (e.g., control vs treatment, bias, confounding, CUPED, DiD, matching, etc.).

  
  

• Experience working with large datasets in data warehouses.

  
  

• Strong stakeholder management and communication skills, able to explain insights clearly to non-technical audiences.

  
  

• Proactive mindset with the ability to operate effectively in cross-functional teams.

• Expertise using data analysis and visualization tools (e.g: tableau, data studio, powerbi, mixpanel, etc)