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  • Senior ETF Data Analyst/Specialist
    New

    Senior ETF Data Analyst/Specialist

    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      R

      regular

      Data Visualisation

      regular

      Data analysis

      regular

      ETF

      regular

      Python

      regular

    Job description

    Online interview

    Senior ETF Data Analyst/Specialist

    Location: Remote (European Time Zone)

    Contract Type: B2B


    About:

    You’ll join a highly skilled data analysts team, part of the data department. This team is responsible for shaping data roadmap across three regions incl. EMEA, AMER and APAC, acquiring and defining data and analytics contents, ensuring quality and integrity of the data throughout our solutions available to institutional clients.

    Your primary goal will be to work on key data and analytics contents relevant for institutional clients (buy-and-sell side) for analysing, utilizing, and interpreting data related to global ETFs markets. The goal is to deliver trusted data and analytics solutions to internal stakeholders and predominantly to external clients, enabling data-driven decisions or strategic solutions.

    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:

    • Define 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 on shaping data and analytics contents available through ETFbook platform and other distributing methods (Web-Application and APIs) to meet institutional clients (buy-and-sell side) data and analytics needs.
    • 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 and contribute to end-to-end delivery of ETF data contents, including reference data, dynamic data, holdings, performance, liquidity, and many others.
    • Work and contribute to end-to-end 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.
    • Maintain and improve data quality, accuracy, and integrity across various ETFbook solutions (Web-Application and APIs).
    • Consult with internal stakeholders and external clients on data and analytics contents and solutions to ensure ETFbook competitive edge and growth in the ETF data space.


    Requirements:

    • 7+ 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 and experience in Data Visualisation techniques.
    • Experience in working with large datasets and data engineering.
    • Strong problem-solving and communication skills.
    • Interest in financial data.


    What We Offer:

    • Ability to contribute to development of cutting-edge platform for global ETF markets.
    • Work with senior colleagues and institutional clients on innovative data solutions.
    • Exciting growth opportunities in a fast-paced startup.
    • 100% remote work within the European time zone.
    • Competitive compensation.
    • Collaborative and innovative work culture.
    Undisclosed Salary

    B2B

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