Data Analyst

Data Analyst

Posted 2 days ago by ETFbook

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Negotiable
Undetermined
Remote
EMEA
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Application Programming Interface (API) Automation Azure Databricks Big Data Creativity Data Analysis Databricks Data Integrity Data Quality Data Science Data Visualisation Device Tracking Software Dynamic Data Finance Financial Data Management Market Liquidity Portfolio Management Software as a Service (SaaS) Stakeholder Management Web Applications

Summary: The ETF Data Analyst/Specialist/Scientist role at ETFbook involves working within a skilled team to shape the data roadmap across multiple regions, focusing on delivering high-quality data and analytics solutions for institutional clients in the ETF market. The position requires collaboration with various teams to ensure data integrity and support client requests. The role offers the opportunity to make a significant impact in a rapidly evolving field while working remotely within the European time zone. Candidates should have a strong background in data analysis and experience in the ETF/Indexing industry.

Key Responsibilities:

  • Work on key ETF data and analytics contents relevant for institutional clients for analyzing, utilizing, and interpreting data related to global ETFs markets.
  • Contribute to the delivery of ETF data contents, including reference data, dynamic data, holdings, performance, and liquidity.
  • Deliver large datasets from multiple sources, ensuring they are clean and structured, and collaborate with data engineers on automation and continuity.
  • Work closely with Business, Tech, and Product teams to ensure depth of data and breadth of analytics within ETFbook solutions.
  • Address client requests related to data and analytics in a timely manner.
  • Maintain and improve data quality, accuracy, and integrity across various ETFbook solutions.

Key Skills:

  • Minimum 3+ years of experience in the ETF/Indexing industry within data, analytics, portfolio management, risk, or research.
  • Preferred Master degree in data analysis, data science, or related field.
  • Strong proficiency in Python/R/SQL and experience in Data Visualization techniques.
  • Experience in Databricks preferred.
  • Hands-on exposure to data quality tasks and support in the collection and onboarding of new data sources.
  • Strong problem-solving and communication skills.
  • Interest in financial data.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

Job Title: ETF Data Analyst/Specialist/Scientist

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 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:

  • 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.

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 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- buildings events at least twice a year, hosted in various European locations.
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