Senior ETF Data Analyst
Location: Remote (European Time Zone)
Contract Type: B2B
About us:
ETFbook is a Swiss SaaS company providing data, analytics, and custom solutions in the Exchange Traded Funds (ETFs) space. Founded in 2020, the we aim to make global ETF data accessible, actionable, and valuable for institutional participants, including ETF issuers, index providers, fund service providers, market makers, exchanges, and buy-side institutions.
We develop a platform which offers comprehensive insights through a user-friendly web application and robust APIs, covering areas such as product analysis, fund flow tracking, performance comparisons, and liquidity assessments.
About the role:
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 analyzing, 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:
- Defines key ETF data and analytics content relevant for institutional clients (buy- and sell-side) for analyzing, utilizing, and interpreting data related to global ETF markets, including ETF markets in EMEA, AMER, and APAC.
- Works on shaping data and analytics content available through the ETFbook platform and other distribution methods (Web-Application and APIs) to meet institutional clients' (buy- and sell-side) data and analytics needs.
- Works closely with Business, Tech, and Product teams on a unified, efficient, and collaborative approach to ensure great depth of data and breadth of analytics within ETFbook solutions.
- Works on and contributes to the end-to-end delivery of ETF data content, including reference data, dynamic data, holdings, performance, liquidity, and many others.
- Works on and contributes to the end-to-end delivery of large datasets from multiple sources, ensuring they are clean and structured, and works with Data Engineers on ensuring automation and continuity, leveraging the latest Big Data and AI/ML technologies.
- Maintains and improves data quality, accuracy, and integrity across various ETFbook solutions (Web-Application and APIs).
- Consults with internal stakeholders and external clients on data and analytics content and solutions to ensure ETFbook's competitive edge and growth in the ETF data space.
Requirements:
- 8+ years of experience data analytics, data science or similar technical role, ideally in the financial industry. Prior experience with ETF/Indexing is highly advantageous.
- Preferred Master's degree in finance, data analysis, data science, or related technical field.
- Strong proficiency in Python/R/SQL and experience with data visualization techniques; experience with Databricks preferred.
- Experience in project delivery across cross-functional teams.
- Excellent communication skills, with the ability to translate complex concepts into clear messages for internal and external purposes .
- Mentor junior analysts.
- English fluent
What we offer:
- 100% remote work from anywhere within the European time zone.
- Competitive B2B contract.
- Exciting growth opportunities in a fast-paced startup.
- Closely hand-in-hand collaboration with CEO.
- Impactful work: help revolutionise ETF data market, currently the fastest growing area of finance.
- Have a real impact of developing products: your work will directly influence live projects, delivering measurable results in real-world applications.
- Culture of innovation: collaborate with forward-thinking professionals in technology and finance where experimentation and creativity are encouraged.
- Team-building events at least twice a year, hosted in various European locations.
