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Int. Business Systems Analyst with a strong understanding of data concepts, ETL processes, and data warehousing to support our banking client's migration o

Toronto, ON
  • Nombre de poste(s) à combler : 1

  • À discuter
  • Emploi Contrat

  • Publié il y a 10 jour(s)
  • Date d'entrée en fonction : 1 poste à combler dès que possible

Int. Business Systems Analyst with a strong understanding of data concepts, ETL processes, and data warehousing to support our banking client's migration of data processes from on-prem (Netezza, SSIS) to AWS cloud

Duration: 12 Months

Location: Toronto, Hybrid (2x/week)

Department: Risk Data Technology - Credit Risk Data Team

Reports To: Director, Risk Data Technology

Role Overview

We are seeking a Junior to Intermediate Technical System Analyst to support our Credit Risk Data team. This role bridges the gap between business requirements and technical implementation, with a focus on data documentation, lineage tracking, and preparing our data ecosystem for AI-driven capabilities. The ideal candidate will work within agile pods to capture requirements, write user stories, and ensure robust documentation across our data transformation initiatives.

Key Responsibilities

  • Gather, analyze, and document business and technical requirements for data initiatives
  • Write clear, actionable user stories and epics in Jira to drive development work
  • Document end-to-end data lineage to ensure traceability and compliance
  • Support the migration of data processes from on-prem (Netezza, SSIS) to AWS cloud
  • Create and maintain comprehensive technical documentation for data pipelines and systems
  • Collaborate with developers, SMEs, and stakeholders within agile pod structures
  • Ensure data assets are properly catalogued and formatted for AI/ML readiness
  • Participate in sprint planning, daily standups, and retrospectives

Must Haves:

Technical:

  • 2-4 years of experience as a Technical Business Analyst, System Analyst, or similar role
  • Strong understanding of data concepts, ETL processes, and data warehousing
  • Working knowledge of SQL for data analysis and validation
  • Familiarity with data lineage concepts and tools (e.g., Manta)
  • Understanding of on-prem to cloud migration concepts (SSIS, AWS Glue, Redshift)

Tools & Environment:

  • Proficiency with Jira for writing and managing user stories, epics, and sprint boards
  • Experience working in Kanban or Scrum agile methodologies
  • Familiarity with documentation tools and standards

Soft Skills:

  • Excellent written and verbal communication skills
  • Strong analytical and problem-solving abilities
  • Ability to translate technical concepts for non-technical stakeholders
  • Detail-oriented with strong organizational skills
  • Collaborative mindset with ability to work across cross-functional teams

Nice to Have

  • Experience in financial services, risk management, or credit risk data
  • Exposure to AI/ML concepts and data preparation requirements
  • Understanding of data governance and quality frameworks
  • Previous experience at BMO or similar financial institutions


Disclaimer:
AI may be used in evaluating candidates.
This posting is for an existing vacancy.
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