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indeed

Production Support Analyst

BMO Financial Group
Toronto, CAN
Full-time
Senior
Onsite
Discovered 3 weeks ago
SQLData warehousingETL/ELTData modelingLinuxShell scripting

Full Job Posting

Role overview

Technology role supporting mission-critical bank IT systems, operational efficiency, and service levels.

Work arrangement and schedule

  • The role is explicitly hybrid.
  • An eight-hour shift is scheduled between 9 a.m. and 9 p.m. on any five days per week, including weekends.
  • On-call or pager duties are not required.

Responsibilities

  • Monitor, restore, change, and support mission-critical systems and daily operations.
  • Monitor service desk requests; coordinate incident management, production changes, and third-party incident support.
  • Execute failover and disaster recovery for infrastructure and applications.
  • Partner with development teams on solutions using enterprise monitoring and logging, with minimal maintenance.
  • Track system performance, resolve issues, and identify operational improvements.
  • Lead or conduct incident recovery and root cause analysis; deploy manual code to production.
  • Analyze strategic problems and data, and configure solutions to complex technology issues.

Experience and knowledge

  • 3–5 years of SQL experience, including complex queries, analysis, optimization, validation, and troubleshooting.
  • 3–4 years of data warehousing experience, including ETL/ELT, data modeling, and data quality.
  • 2–3 years of Linux experience, including file management, process monitoring, log analysis, scripting, and troubleshooting.
  • 2–3 years supporting ESP Workstation or equivalent workload automation and scheduling tools.
  • Typically 4–6 years of IT or business experience and/or a bachelor’s degree in a related field.
  • ITIL Foundation, ServiceNow, and AutoSys or Control-M experience are assets.

Core skills

  • Knowledge of IT operations practices for monitoring, logging, and alerting.
  • Communication, collaboration, analytical, problem-solving, influence, and data-driven decision-making skills.

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