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Data Analyst - investment banking

Link Group

Warszawa

On-site

PLN 50,000 - 70,000

Full time

Today
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Job summary

A leading consulting firm in Warsaw is seeking a Data Analyst to support their teams by delivering high-quality data products. The role involves gathering and translating data requirements, coordinating dataset delivery, and ensuring data quality. Ideal candidates will have a strong background in SQL and data analytics, as well as experience in financial data analysis. This position offers an exciting opportunity to work in a dynamic environment with passionate professionals.

Qualifications

  • Minimum 2 years of experience with SQL and data analysis.
  • Knowledge of financial markets and alternative data.
  • Ability to manage multiple tasks and deadlines.

Responsibilities

  • Gather and translate data requirements from business teams.
  • Coordinate delivery of datasets and validate their quality.
  • Lead development of proprietary data products.
  • Ensure data quality through frameworks, KPIs and QA processes.
  • Manage communication between engineering, investment teams, and external partners.

Skills

SQL
Data analytics
Financial data analysis
Statistical methods
Task management
Job description
Qualifications
  • SQL
  • Data analytics
  • Minimum 2 years of experience with SQL and data analysis.
  • Experience in investment or financial data analysis.
  • Knowledge of financial markets and alternative data.
  • Ability to manage multiple tasks and deadlines.
  • Understanding of statistical methods and passion for data.
Opis oferty
Data Analyst

We are seeking a data-driven professional to support our teams by delivering high-quality, reliable data products. In this role, you will collaborate with engineers, coordinate data requests, and help shape proprietary data solutions from concept to production.

  • Gather and translate data requirements from business teams.
  • Coordinate delivery of datasets and validate their quality.
  • Lead development of proprietary data products.
  • Ensure data quality through frameworks, KPIs and QA processes.
  • Manage communication between engineering, investment teams, and external partners.
  • Start ASAP

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