Senior Data Analyst (#2472)

3 Months ago • 4-8 Years • Data Analyst

Job Summary

Job Description

Senior Data Analyst role focusing on a European online car market with 30 million monthly users across 18 countries. Responsibilities include leveraging data to drive product development, understand user behavior (search habits, etc.), provide analytical insights and recommendations to product teams, and enhance data capabilities within those teams. The role requires strong SQL, Python (pandas, pyarrow, etc.), statistical analysis (A/B testing), and data visualization skills (MicroStrategy, PowerBI, Superset, or Tableau). Excellent communication is crucial for interacting with product teams.
Must have:
  • SQL querying large datasets
  • Python scripting & data analysis (pandas, pyarrow)
  • Advanced statistics & A/B testing
  • Data visualization (MicroStrategy, PowerBI, etc.)
  • Excellent communication skills
Good to have:
  • Google Analytics & tracking implementation
  • Data pipeline creation & maintenance
Perks:
  • Flexible working (remote, office, hybrid)
  • Competitive salary & benefits
  • Personalized career growth
  • Professional development tools
  • Active tech communities
  • Education reimbursement
  • Corporate events

Job Details

About the project:

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a Senior Data Analyst, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Responsibilities:

  • Data-Driven Marketplace: Function as an analytical ally to client’s product teams. You’ll generate insights and drive a data-driven product development process, ensuring decisions are rooted in robust analysis.
  • Customer Understanding: A profound understanding of users and products will be central to your role. You’ll utilize data to understand user behaviours and needs, such as their search habits, to create business value and improve taxonomy.
  • Consultative Analytics: Provide detailed answers to key questions and offer insight-driven recommendations to client’s product teams.
  • Data Enablement: Partner with product teams to boost their data capabilities, empowering them to access, understand, and analyze data independently.

Requirements: 

  • Competent in querying large volumes of data using SQL.
  • Familiarity with Python scripting and data analysis tools like data frames, pandas, pyarrow, Jupyter notebooks, regex, and plotting tools.
  • Advanced, hands-on knowledge of statistics to set up A/B testing and validate hypotheses.
  • Expertise in data visualization with MicroStrategy, PowerBI, Superset, or Tableau, i.e., building cubes, modeling data, and creating/automating reports.
  • Excellent communication skills as you’ll act as the go-to person for our product teams.
  • Upper-Intermediate level of English is a must

Is a plus: 

  • Understanding of Google Analytics and proficiency in tracking implementation
  • Knowledge in creating and maintaining data pipelines.

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

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