Data Analyst and Strategist in Language Intelligence

11 godzin temu


Poznań, Greater Poland Allegro Pełny etat

Company Overview:

Allegro is a leading e-commerce platform that prioritizes effortless shopping and selling on international platforms.

We are looking for a skilled Data Analyst to join our Machine Learning Research Lab, where you will play a crucial role in shaping products like Semantic Search and Machine Translation.

Job Description:

As a Data Analyst and Strategist in the Language Intelligence area, your primary responsibilities will include analyzing product data using SQL to understand customer behavior, identify trends, and areas for optimization.

You will take an active role in generating hypotheses, deriving insights from data, generating recommendations based on data, and creating product development strategies.

Additionally, you will conduct statistical analysis and create forecasts, prepare models and tools for valuing new initiatives and product strategies, and create data visualizations using Tableau or Looker Studio.

Collaboration with project teams to develop product improvement strategies based on data analysis and forecasts is also essential.

Required Skills and Qualifications:

  • Deriving Insights from Data: The ability to actively derive insights from data, generate hypotheses, and create product development strategies.
  • SQL Expertise: Excellent knowledge of SQL to create complex queries and analyses.
  • Cloud Environment: Ability to work in the cloud environment and familiarity with GCP or other ecosystems.
  • Python Programming: Basic programming skills in Python for automating analyses and data processing.
  • Statistical Knowledge: Application of statistical knowledge in practice.
  • Git Version Control: Basic knowledge of the Git version control system.
  • Data Visualization: Experience in creating data visualizations using tools like Tableau or Looker Studio.
  • Communication Skills: Excellent communication skills, both written and verbal.
  • Team Collaboration: Ability to work in a team and collaborate with various departments.
  • ML Modeling: Basic knowledge of ML modeling and understanding of the AI model lifecycle.

Benefits:

  • A hybrid work model that allows you to balance remote and office work.
  • Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the company's results).
  • A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers).
  • English classes related to the specific nature of your job.
  • Working in a team you can always count on – we have top-class specialists and experts in their areas of expertise.
  • A high degree of autonomy in terms of organizing your team's work; we encourage you to develop continuously and try out new things.
  • Hackathons, team tourism, training budget, and an internal educational platform, MindUp.
  • Internal ML-seminars covering broad ML topics and domain-oriented subjects.


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