Job Description

Investment Data Business Analyst – Private Assets Focus

Location: Greater Toronto Area (Hybrid)

Type: Contract

Overview:

Our client, a leading investment management organization, is seeking a highly skilled Investment Data Business Analyst to support a strategic data initiative focused on enhancing data lineage, documentation, and governance across both public and private asset classes. This role will play a critical part in mapping end-to-end data workflows, identifying data dependencies, and supporting future-state data architecture planning.

The ideal candidate will bring a strong understanding of investment data workflows , with a particular emphasis on private markets , and possess the ability to collaborate effectively with investment teams and technology stakeholders.

Key Responsibilities:

• Lead structured discovery sessions across investment teams (public and private assets) to understand data creation, consumption, and transformation workflows.
• Document current-state data flows and lineage from both business and system perspectives, focusing on upstream and downstream processes outside of a proprietary data warehouse.
• Map data sources, ingestion pipelines, and handoff points to assess synchronization, scalability, and operational efficiency.
• Engage with business users to identify pain points, data quality challenges, and unmet data needs.
• Standardize business terms, data definitions, and associated metadata to support governance and improve data consistency across the organization.
• Create clear traceability between data sources and business use cases to enable alignment with target-state architecture and strategic objectives.
• Collaborate with data governance, architecture, and engineering teams to inform future-state data platform requirements.

Required Qualifications:

• Proven experience as a Data Business Analyst within an investment management , asset management , or financial services environment.
• Strong knowledge of private markets data workflows (e.g., private equity, private credit, infrastructure).
• Demonstrated experience in data lineage mapping, process documentation, and metadata capture.
• Familiarity with enterprise data warehouse environments, data ingestion pipelines, and cloud-based data platforms.
• Strong communication and stakeholder engagement skills, with experience working across front-office investment teams and technical teams.
• Detail-oriented with strong analytical and organizational skills.

Preferred Qualifications:

• Located in or near Toronto , with the ability to work in a hybrid capacity.
• Experience with data governance tools and frameworks (e.g., Collibra, Informatica, Alation).
• Understanding of regulatory requirements or reporting frameworks relevant to investment data.

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