Senior Product Analyst @ N-iX

4 days ago


Remote Kraków, Czech Republic N-iX Full time
  • 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.

About N-iX:

N-iX is a software development service company that helps businesses across the globe develop successful software products.

Client Overview:

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a Senior Product 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.

We are currently looking for a Senior Product Analyst to join our team. We offer $1000 welcome bonus.

,[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: Python, Communication skills, pandas, Data visualization, MicroStrategy, PowerBI, Tableau, SQL, data frames, pyarrow, Jupyter notebooks, regex, plotting tools, Data analysis, Data pipelines Tools: Agile. Additionally: Flexible working hours and remote work possibility, Mentoring program, Training budget, English lessons, Compensation of Certifications, Active tech community, International team, Referral program, Modern office, Free coffee, Kitchen, Friendly atmosphere.

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