Business Data Analyst

ClientOur 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.TeamThe successful candidate will be involved into work within cross functional teams to decompose business problems and opportunities, design solutions and create Features and Stories to enable delivery of those designs and build of new Data Products and Solutions.Position overviewWe 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.ResponsibilitiesPerform gap analysis and prepare detailed requirements for implementing automated data checksCommunicate with stakeholders such as fund and asset managers, investment business developers, and program/product managers to clarify data needsTranslate business requirements into fully refined epics and user stories for software developersPrepare and maintain data mappings between systemsDevelop and document ETL processes for data analysisAnalyze database schemas, structures, and scriptsCoordinate and analyze API integrations between systems and propose automation opportunitiesCollaborate with engineering teams to troubleshoot data discrepancies and improve data qualitySupport ongoing improvements in data workflows, monitoring, automation, and validationRequirementsExperience in Asset Management domain or CFA certificationAbility to work with business requirements and translate them into technical tasks for developers3+ years working with large data volumes and diverse data formatsExperience in data schema design, data modeling, and data mappingsExperience investigating and understanding APIsStrong experience with SQLAbility to parse XML, XSD formatsExperience in data warehousing, dimensional modeling, reporting, and business intelligenceExcellent analytical and problem-solving skillsSpoken EnglishNice to haveCompetence in Java or PythonBackground in data engineering projectsDeveloper background