Overview

We are looking for a Business Data Analyst to join our team and support the data management ecosystem across several interconnected systems. In this role, you will work closely with business stakeholders, data engineering, and the data workstream to analyze data issues, translate business needs into clear technical requirements, and drive improvements in data quality, automation, and system integration. You will play a key role in enhancing data processes by investigating discrepancies, designing data mappings, documenting requirements, and supporting the implementation of ETL and API‑related enhancements. Client: Our client is one of the world’s top 10 investment companies with headquarters in Great Britain. During the next 5 years, they are going to replace 150 systems from the 400 they use at the moment. In addition, they are building a data marketplace that will aggregate and analyze data from multiple data feeds and systems like stock exchanges, news feeds, stock exchange brokers, internal quantitative systems, and others. Project Overview:

Responsibilities:
  • Perform gap analysis and prepare detailed requirements for implementing automated data checks
  • Communicate with stakeholders such as fund and asset managers, investment business developers, and program/product managers to clarify data needs
  • Translate business requirements into fully refined epics and user stories for software developers
  • Prepare and maintain data mappings between systems
  • Develop and document ETL processes for data analysis
  • Analyze database schemas, structures, and scripts
  • Coordinate and analyze API integrations between systems and propose automation opportunities
  • Collaborate with engineering teams to troubleshoot data discrepancies and improve data quality
  • Support ongoing improvements in data workflows, monitoring, automation, and validation
Required Qualifications:
  • Experience in Asset Management domain or CFA certification
  • Ability to work with business requirements and translate them into technical tasks for developers
  • 3+ years working with large data volumes and diverse data formats
  • Experience in data schema design, data modeling, and data mappings
  • Experience investigating and understanding APIs
  • Strong experience with SQL
  • Ability to parse XML, XSD formats
  • Experience in data warehousing, dimensional modeling, reporting, and business intelligence
  • Excellent analytical and problem-solving skills
  • Spoken English
Nice To Have:
  • Competence in Java or Python
  • Background in data engineering projects
  • Developer background
Note:

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