Data Analyst

3 days ago


Warszawa, Czech Republic Talangeo Full time
  • A Bachelor’s degree in Data Science, Computer Science, Information Management, or a related discipline is required; a Master’s degree is advantageous.
  • A minimum of 5 years of relevant experience in data management, data governance, or a related capacity. Experience within the financial services or hedge fund sector is highly desirable.
  • Proficiency in Python (particularly pandas), SQL, ChatGPT, Snowflake, AWS S3, and Redshift.
  • Exceptional written and verbal communication skills in English.
  • A keen eye for accuracy and meticulous attention to detail in managing and analyzing data.
  • Proven ability to collaborate effectively within a team environment, while also thriving independently.
  • Strong analytical and problem-solving capabilities, with a talent for interpreting complex data sets and deriving actionable insights.

We are seeking a Data Analyst to join a  Data Science & AI team in Warsaw. In this pivotal role, you will be instrumental in the establishment of an innovative AI-driven data enrichment capability, integral to the data management strategy. Your contributions will play a crucial part in our mission to leverage the power of artificial intelligence to revolutionize our data management and analytical processes.

Key Responsibilities:

  • Develop and uphold robust data governance frameworks, policies, and standards, ensuring adherence to data quality and compliance requirements.
  • Monitor and enhance data quality through the application of AI tools, adeptly identifying and rectifying anomalies, inconsistencies, and errors.
  • Oversee the seamless integration of data from diverse sources, facilitating efficient data flow across systems.
  • Engage closely with a global network of investment professionals, data scientists, and engineering teams to ascertain data requirements and deliver exceptional data solutions.
  • Employ AI methodologies to enrich data sets, infusing value through enhanced attributes and insights.
  • Maintain meticulous documentation of data processes, standards, and performance metrics.
  • Provide comprehensive training and support to team members in data management best practices.

Qualifications:

  • A Bachelor’s degree in Data Science, Computer Science, Information Management, or a related discipline is required; a Master’s degree is advantageous.
  • A minimum of 5 years of relevant experience in data management, data governance, or a related capacity. Experience within the financial services or hedge fund sector is highly desirable.
  • Proficiency in Python (particularly pandas), SQL, ChatGPT, Snowflake, AWS S3, and Redshift.
  • Exceptional written and verbal communication skills in English.
  • A keen eye for accuracy and meticulous attention to detail in managing and analyzing data.
  • Proven ability to collaborate effectively within a team environment, while also thriving independently.
  • Strong analytical and problem-solving capabilities, with a talent for interpreting complex data sets and deriving actionable insights.


Benefits:

  • Annual Performance Bonus: Earn a bonus based on both individual and company performance, typically equivalent to one month’s salary.
  • Health & Wellness: Access premium health coverage, including dental care, for you and your family.
  • Life Insurance: Benefit from life insurance coverage worth 24 months of your salary.
  • Pension Contributions: Secure your future with a 4% company contribution to your pension (PPK).
  • Sports & Fitness: Enjoy a fully covered multisport card starting in September.
  • Lunch Allowance: Stay fueled with a daily lunch allowance of approximately 60 zł.
  • Parking: Convenient access to parking spots, bookable in advance.
  • Flexible Work Arrangements: Choose your in-office days, with a requirement to be onsite 3 days per week.
  • Unlimited Contract: Start with an unlimited contract, with an initial 3-month probation period.
  • Annual Salary Review: Regular salary reviews ensure your compensation aligns with your contributions and market conditions.
,[Develop and uphold robust data governance frameworks, policies, and standards, ensuring adherence to data quality and compliance requirements., Monitor and enhance data quality through the application of AI tools, adeptly identifying and rectifying anomalies, inconsistencies, and errors., Oversee the seamless integration of data from diverse sources, facilitating efficient data flow across systems., Engage closely with a global network of investment professionals, data scientists, and engineering teams to ascertain data requirements and deliver exceptional data solutions., Employ AI methodologies to enrich data sets, infusing value through enhanced attributes and insights., Maintain meticulous documentation of data processes, standards, and performance metrics., Provide comprehensive training and support to team members in data management best practices.] Requirements: Python, AWS Additionally: Sport subscription, Private healthcare, Flat structure, Lunch card, Small teams, International projects, Free coffee, Free snacks, Free beverages, Free lunch, Free parking, In-house trainings, Modern office, No dress code.

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