One of our Financial Services clients is building a world-class data organization that leverages artificial intelligence and modern cloud-native architectures to transform how capital markets professionals access and consume data. We are seeking a Senior Business Analyst to support the design and delivery of enterprise-grade data solutions across a cloud-based data platform. In this role, you will partner with business stakeholders, data architects, and engineering teams to drive requirements, improve data quality, and help establish scalable data models supporting multiple asset classes and front-office functions. Work Model: Hybrid - office attendance required 4 days per week (Monday-Thursday); remote work available on Fridays. Req# (phone hidden)
Responsibilities Analyze cross-asset data from internal and external sources to understand data lineage, relationships, and data quality gaps
Gather, document, and manage business and technical requirements
Decompose complex initiatives into clear functional and technical requirements
Support the design and implementation of scalable data models and standardized data structures
Perform data gap analysis and identify quality issues early in project lifecycles
Collaborate with upstream teams to define data contracts and drive remediation efforts
Partner with business and engineering teams to resolve data and integration challenges
Leverage AI tools for data exploration, profiling, mapping, and model prototyping
Support rapid proof-of-concepts using cloud-based data platforms




Contribute to data strategy and architectural decision-making
Requirements Bachelor's degree in Computer Science, Software Engineering, Information Systems, Mathematics, or a related field
5+ years of IT experience
Proven experience as a Business Analyst in data-intensive environments
2+ years of experience supporting data architecture, data modeling, or data strategy initiatives
1+ year of experience in capital markets with exposure to multiple asset classes (equities, fixed income, derivatives, FX, commodities)
Robust understanding of trading workflows, trade lifecycle processes, and market data structures
Experience with FIX (Financial Information Exchange) protocol
Strong API and integration experience
Advanced SQL and Python skills for data analysis, profiling, and transformation
Understanding of ETL/ELT processes, data pipelines, and real-time data integration
Experience working with cloud-based data lake or lakehouse environments
Practical experience using AI tools to enhance data analysis, modeling, and requirements gathering
Excellent communication and stakeholder management skills
Nice to have Familiarity with data from major financial ISVs and market data providers
Experience applying AI/ML techniques for data analysis, data quality assessment, or automated model generation
Hands-on experience using generative AI tools such as GitHub Copilot or similar solutions
Experience with AWS, Azure, or Google Cloud platforms
Knowledge of data governance and data quality frameworks

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📌 Senior Data Modeler/Analyst (Manitoba)
🏢 EPAM Systems
📍 Manitoba