Data Analyst

4 days ago


Remote Kraków, Czech Republic Numlabs Full time
Formal requirements
  • Minimum 2 years of experience as a Data Analyst or similar role
  • Bachelor's degree (or higher) in data analysis or a related field
  • Proficiency in SQL, Python, and Git
  • Understanding of basic and intermediate statistical concepts
  • Excellent command of English (both spoken and written)
Good to have
  • Experience in financial or anti-financial crime industry

Job Description:

We are looking for a Data Analyst experienced in financial transaction analysis and anti-financial crime. You will join a team working on a long-term project for an international client in the financial sector. Your tasks will include analyzing transaction data, creating reports, and supporting activities aimed at preventing financial crimes.

Seniority: Mid

Responsibilities:

  • Creating, developing, and deploying machine learning models (classification, clustering) related to financial transactions
    Analyzing large datasets using Python and Apache Spark
    Collaborating with analysts and data engineers to implement solutions
    Monitoring and optimizing models in a production environment
    Preparing reports and analytical documentation in English

Requirements:

  • Minimum 2 years of experience as a Data Scientist or similar role
  • Bachelor's degree (or higher) in Data Science or a related field
  • Strong knowledge of machine learning algorithms (classification, clustering)
  • Practical experience with Python, Spark, and Git
  • Excellent command of English (both spoken and written)

Remote vs Onsite: Fully Remote

Salary: 90 - 110 PLN/hour B2B

,[ Analyzing financial data using SQL and Python, Processing and interpreting transaction data, Supporting the team in identifying suspicious financial activities, Creating and maintaining analytical documentation, Collaboration with international teams in English] Requirements: Data science, Python, Git, Statistics, SQL, predictive modeling, Machine learning Additionally: Sport subscription, Small teams, International projects, Free coffee, Shower, No dress code.
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