Data Analyst

January 17, 2026
Application ends: April 17, 2026
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Job Description

Reporting to the Head of Data, you’ll be a part of a collaborative team focused on data contents, data analytics, and data roadmap. This role offers the chance to make a visible impact in a dynamic, fast-evolving field.

Responsibilities:

  • Work on key ETF data and analytics contents relevant for institutional clients (buy-and-sell side) for analysing, utilizing, and interpreting data related to global ETFs markets, including ETF markets in EMEA, AMER and APAC.
  • Work and contribute to delivery of ETF data contents, including reference data, dynamic data, holdings, performance, liquidity, and many others.
  • Work and contribute to delivery of large datasets from multiple sources, ensuring they are clean and structured and work with data engineers on ensuring automation and continuity, by leveraging latest technologies in Big Data and AI/ML.
  • Work closely with Business, Tech and Product teams on unified, efficient, and collaborative approach to ensure great depth of data and breadth of analytics within ETFbook solutions.
  • Work on client requests related to data and analytics requests in a timely manner.
  • Maintain and improve data quality, accuracy, and integrity across various ETFbook solutions (Web-Application and APIs).

Requirements:

  • Minimum 3+ years of experience in the ETF/Indexing industry within data, analytics, portfolio management, risk or research field.
  • Preferred Master degree in data analysis, data science or related field.
  • Strong proficiency in Python/R/SQL and experience in Data Visualisation techniques. Experience in Databricks preferred.
  • Hands-on exposure to data quality tasks, including checks on existing datasets and support in the collection and onboarding of new data sources, preferably within the financial sector or a comparable environment.
  • Initial hands-on experience in supporting the team with client-related questions and data requests.
  • Strong problem-solving and communication skills.
  • Interest in financial data.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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