Business Analyst @
3 days ago
Requirements:
- 5+ years of work on the similar position
- Technical Background: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- Experience in Data Analytics: Hands-on experience with data-driven products, business intelligence, or machine learning solutions.
- Agile & Scrum Expertise: Proven experience in Agile product development, preferably in a SaaS or data-centric company.
- Strong Communication Skills: Ability to convey technical concepts to non-technical stakeholders and vice versa.
- Problem-Solving Mindset: Ability to navigate complex challenges, make data-driven decisions, and drive innovation.
- Financial Domain Knowledge (Preferred): Experience in financial services, fintech, or working with financial datasets is a strong plus.
- Experience with Cloud & Software Development: Familiarity with .NET, Azure, and cloud-based data processing architectures is an advantage.
About Us:
ETFbook is a Swiss SaaS company providing data, analytics, and custom solutions in the European ETFs space, including Crypto ETPs .
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:
We are seeking a detail-oriented Business Analyst with a background in data analytics and a preference for experience in the financial sector. As a Business Analyst, you will play a critical role in bridging business needs with technical solutions, ensuring that our data-driven platform delivers value to clients. You will analyse business requirements, work closely with stakeholders, and support data-driven decision-making.
Responsibilities:
- Gather, analyze, and document business requirements for data analytics and SaaS products.
- Work closely with product owners, engineers, and data analysts to translate business needs into technical specifications.
- Define key performance indicators (KPIs) and reporting metrics to measure product effectiveness.
- Identify areas for process improvement and recommend data-driven solutions.
- Support stakeholders in interpreting data insights and making informed business decisions.
Requirements:
- 5+ years of work on the similar position
- Technical Background: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- Experience in Data Analytics: Hands-on experience with data-driven products, business intelligence, or machine learning solutions.
- Agile & Scrum Expertise: Proven experience in Agile product development, preferably in a SaaS or data-centric company.
- Strong Communication Skills: Ability to convey technical concepts to non-technical stakeholders and vice versa.
- Problem-Solving Mindset: Ability to navigate complex challenges, make data-driven decisions, and drive innovation.
- Financial Domain Knowledge (Preferred): Experience in financial services, fintech, or working with financial datasets is a strong plus.
- Experience with Cloud & Software Development: Familiarity with .NET, Azure, and cloud-based data processing architectures is an advantage.
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 COO.
- 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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