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Senior Data Analyst

Hybrid - Senior

Cyprus, Limassol · Kazakhstan · Georgia

We are looking for a Support Team Analyst to help make our service even better. In this role, you will play an active part in automating support processes: developing AI and machine learning-based solutions and analyzing their impact will be a key part of your work.

Your responsibilities will also include:

  • Customer journey analysis — identifying pain points and optimizing user experience across all support channels (chat, email, calls, etc.), using collected data to implement effective improvements.
  • Analyzing customer requests and feedback — collecting and segmenting data to identify key trends, forecast demand, and pinpoint product growth areas.
  • Enhancing internal support team tools — assessing the efficiency of current solutions, ease of use of internal tools, and gathering team feedback for further improvements.

If you’re passionate about working with data, enhancing the customer experience, and applying modern technology to improve service quality, we’d be thrilled to have you on our team!

Apply for this position

Responsibilities

  • Responsibilities Selection and calculation of product metrics and business metrics when implementing projects/product features;
  • Search for reasons for strong deviations of key metrics, as well as points of growth and product development directions;
  • Assessment of potential profit from projects or product features;
  • Maintaining documentation of the analytics system;
  • Conducting A / B testing – participation in the development of conditions for conducting and interpreting the results;
  • Making recommendations for improving the product and finding optimal solutions to improve the convenience of interaction between the user and the product;
  • Interact with all teams of the Data Department, to optimize data flows, control the quality and integrity of product data, create data marts for the product.

Qualifications

  • Qualifications 3+ years of experience in data analytics or data science;
  • Analytical mindset: structured and critical thinking, the ability to find a balance between the resources spent and the effect on the business;
  • Strong mathematical background with an emphasis on mathematical statistics, optimization theory, time series and causal inference;
  • Proficiency in Python and data analysis libraries; proficiency in SQL: ability to work with large amounts of data, write and optimize complex queries, create analytical data marts;
  • Experience in creating BI reports: Plotly / Redash / Tableau; Professional working proficiency in Russian and English.

Conditions & Benefits

  • Stable salary, official employment;
  • Health insurance;
  • Hybrid work mode and flexile schedule
  • Relocation package offered for candidates from other regions;
  • Access to professional counseling services including psychological, financial, and legal support;
  • Discount club membership;
  • Diverse internal training programs;
  • Partially or fully payed additional training courses;
  • All necessary work equipment.

Interested? Fill out the form below!

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