Data Asset Specialist

1 day ago

Warszawa, Mazovia, Czech Republic beBeeData Full time 590,000 - 690,000

Product Data Analyst

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  • Master's degree in relevant field is a must, with 3+ years of experience as Product Analyst or Data Steward in related industry.
  • Strong knowledge of data management principles, data quality frameworks and metadata management practices and tools is required.
  • Understanding of data lineage and cataloging concepts is also necessary.
  • Bachelor's degree in Statistics, Computer Science, Data Management or a related field is preferred but not essential.
  • Experience with data manipulation and analysis using Python, SQL and Azure Databricks is desired.
  • Familiarity with relational databases (PostgreSQL, MSSQL) and data modeling is necessary.
  • Excellent analytical and problem-solving skills are required.
  • Communication skills to present complex data in clear manner are a must.
  • Interest in AI tools supporting data analysis and stewardship is a plus.
  • Ability to work collaboratively in team environment is required.
  • Fluent in English both written and spoken is necessary for this position.
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We are seeking an experienced Product Data Analyst to join our team. The role involves building and maintaining core data assets across various domains, ensuring their completeness, semantics and quality. You will work closely with data owners, product managers, data engineers, data architects, data stewards, data governors and data scientists to enable analytics solutions, enhance the strategic value of data assets and support cutting-edge AI solutions.

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  1. Maintain and improve data quality, availability and completeness through implementation of quality checks, validation processes and continuous monitoring.

  2. Analyze complex datasets to extract actionable insights that streamline the development of analytics and AI solutions.

  3. Collaborate with technical teams and business stakeholders to ensure data assets meet both business requirements and technical standards.

  4. Serve as primary point of contact for users of data assets, providing guidance and support to help them understand and utilize the data effectively.

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Requirements: Python, SQL, MS SQL, PostgreSQL, Azure Databricks

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Additional Benefits: Sport subscription, Private healthcare, Playroom, Bike parking, Free parking.

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