Роль очень четко описана, а компания является стабильным глобальным игроком, но зарплата значительно ниже рыночной для сеньор-специалиста с опытом 8+ лет.
Senior Solution Analyst (Data and Analytics) (Financial Data and Analytics): Defining complex data and analytics work across business functions, reporting needs, and modern data platforms with an accent on SQL-based analysis, data quality, source-to-target mapping, and solution intent. Focus on profiling operational and financial data, shaping trustworthy migrations and integrations, identifying downstream and regulatory risks, and translating between business and technical stakeholders.
Location: Toronto, Canada
Salary: CAD 82,500–121,000 yearly
Company
hirify.global provides asset servicing solutions for the global investment management industry, including fund administration, middle-office outsourcing, custody, foreign exchange, trustee services, securities lending, and other banking services.
What you will do
Lead front-end analysis for complex initiatives spanning business functions, reporting requirements, and enterprise data platforms.
Assess feasibility, data quality, source-to-target mappings, lineage, and readiness before delivery begins.
Translate business requirements into solution intent, acceptance criteria, data definitions, business rules, and system contracts.
Query and profile source data directly, investigate system behaviour, and identify data gaps, reconciliation risks, downstream impacts, and regulatory implications.
Support operational, analytical, and reporting data migration to modern platforms while maintaining trustworthy and usable data structures.
Document data flows, functional narratives, use cases, analytics, business metrics, adoption activities, and operational changes.
Requirements
8+ years of experience as a Business, Data, or Solution Analyst in financial services, asset servicing, data and analytics, or a comparable environment.
Strong SQL-based data analysis skills, including data querying, profiling, interpretation, quality assessment, and lineage analysis.
Experience gathering, analysing, and documenting business requirements and translating them into solution intent and acceptance criteria.
Experience with operational, analytical, or financial data, source-to-target mapping, data definitions, and cross-system consistency rules.
Strong analytical judgement and the ability to work credibly with both business and technical stakeholders.
Expert Excel proficiency and strong Microsoft Office skills.
Nice to have
Experience with Databricks or comparable lakehouse and cloud data platforms.
Experience building reports and dashboards in Power BI or a comparable business intelligence tool.
Exposure to Workday, data platform migration, integration, master data management, fund administration, or fund accounting data.
Experience with AI-assisted analysis, agile delivery, Lean, or Six Sigma.
Culture & Benefits
Continuous learning and development opportunities.
Collaborative and diverse work environment.
Focus on work-life integration, innovation, and client service.
Exposure to a wide variety of work across a global financial services network.
Hiring process
Applications are reviewed using AI-assisted recruitment tools.
AI recommendations are reviewed by the recruitment team before decisions are made.
Only candidates proceeding to the interview stage will be contacted.