Data Analyst
Fully remote (European time zone) data analyst at ETFBOOK, a Swiss SaaS startup providing ETF data and analytics. The analyst builds, cleans, and quality-checks ETF datasets and analytics content for institutional buy- and sell-side clients, using Python/R/SQL, with Databricks preferred, on a B2B contract.
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 4+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 4+ years of experience in data analytics, data science or similar data-related role, ideally in the financial industry
- Strong proficiency in Python/R/SQL and experience with data visualization techniques
- Hands-on exposure to data quality tasks, including checks on existing datasets and support in onboarding new data sources
- Initial hands-on experience supporting the team with client-related questions and data requests
- Strong problem-solving and communication skills
- Interest in financial data
- English fluent
Nice to have
- Prior experience with ETF/Indexing is highly advantageous
- Master's degree in data analysis, data science, or a related field
- Experience with Databricks
Full description
**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, 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 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.
Requirements:
- 4+ years of experience in data analytics, data science or similar data-related role, ideally in the financial industry. Prior experience with ETF/Indexing is highly advantageous.
- Preferred Master's degree in data analysis, data science, or a related field.
- Strong proficiency in Python/R/SQL and experience with data visualization techniques; experience with Databricks preferred.
- Hands-on exposure to data quality tasks, including checks on existing datasets and support in onboarding 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;
- English-fluent
Responsibilities:
- Works on key ETF data and analytics content relevant for institutional clients (buy- and sell-side), analyzing, utilizing, and interpreting data related to ETF markets in EMEA, AMER, and APAC.
- Works on and contributes to the delivery of ETF data content: reference data, dynamic data, holdings, performance, liquidity, and more.