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Business Analyst - Data & Analytics

asset-management, it, technology

We’re seeking a Business Analyst with a focus on data, technology, automation, and financial understanding. In this role, you’ll be a crucial part of our team, responsible for translating business requirements into technical solutions, system designs, and prototypes. You’ll collaborate closely with various teams to enhance our cloud-based data analytics platform, which drives data-driven research for private market investment decisions. We’re looking for candidates who thrive in a fast-paced environment, bring high energy, adaptability, integrity, quick learning, and a collaborative work style.

The ideal candidate:

  • Demonstrates curiosity and a continuous drive to improve business processes.
  • Possesses strong analytical and problem-solving skills to offer innovative solutions.
  • Excels in interpersonal communication across all functional groups.
  • Manages multiple complex projects simultaneously.
  • Understands agile software development methodologies and tools.

Key Responsibilities:

  • Gather and translate business requirements into technical solutions, system designs, tests, transformations, and reports.
  • Cultivate relationships with various stakeholders.
  • Create and maintain project artifacts such as task boards, use cases, documentation, release notes, and technical write-ups.
  • Identify, document, and facilitate the integration of new data sets.
  • Develop functional prototypes and conduct data and functionality testing using SQL, Python, and other relevant technologies.
  • Address data exceptions and irregularities from internal and external sources.

Additional duties as needed.


  • High energy and collaborative work style.
  • Flexibility to handle a wide range of analysis, testing, and support tasks.
  • Proven experience in requirements capture, design, and testing for data platforms.
  • Proficiency in SQL and data analysis skills for system design and testing.
  • Understanding of data modeling and design.
  • Experience with onboarding new, large datasets (structured and unstructured) while ensuring data quality.
  • Proficiency in Python for quick prototypes.
  • Track record of completing high-complexity projects.
  • Familiarity with business intelligence tools such as Tableau, Power BI, or equivalent.
  • Understanding of DevOps, CI/CD practices, and tools.

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asset-management, it, technology