Sr. Analyst, Data & Reporting

CIBCToronto, ON
Hybrid

About The Position

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute. As the Senior Analyst, Data and Reporting, you will help report and manage regulatory programs for Canadian Banking, identify reporting needs & lead the design, development and delivery of data driven insights and solutions to fill the needs using Business Intelligence (PowerBI or Tableau) and Data Engineering tools (DataBricks, SAS, SQL, Python). The role is responsible for supporting the delivery of advanced consulting advice in data analytics, providing research and insights, and ensuring senior management has the relevant information to make informed decisions. The Senior Analyst, Data and Reporting applies advanced concepts to utilize various advanced analytical techniques such as statistical modeling, data mining, and machine learning. The role provides insights that inform decisions influencing department strategy, performs in-depth analysis of research information to identify opportunities, develops proposals and makes recommendations for management’s use. This role works autonomously on day-to-day work, researching industry best practices, tools, and systems for reporting and data analysis, identifying and recommending enhancements to automated systems used to create a standardized reporting system. The Senior Analyst uses independent judgement to determine methods and approaches to work and acts as a resource integrator for their area. At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

Requirements

  • Proficiency with data engineering tools such as DataBricks, SAS, SQL, Python.
  • Proficiency with business intelligence tools such as PowerBI or Tableau.
  • Understanding of internal banking processes and how they translate into data outputs.
  • Business product knowledge such as mortgages, lending, deposit products, etc.
  • Ability to investigate complex problems and make sense of information.
  • Ability to communicate detailed information in a meaningful way.
  • Ability to take the lead, go above and beyond, and deliver results.
  • Ability to continuously evolve thinking and the way of working.
  • Ability to seek out innovative solutions and embrace evolving technologies.
  • Ability to adapt to new tools and trends.
  • Ability to share expertise to inspire outcomes.
  • Bring your real self to work and live values - trust, teamwork, and accountability.
  • Legally eligible to work at the specified location(s) and, where applicable, have a valid work or study permit.

Nice To Haves

  • Alteryx
  • Business Effectiveness
  • Data Mining
  • Metrics Analysis
  • SAS Enterprise Guide
  • SAS SQL
  • SQL Query Writing

Responsibilities

  • Help report and manage regulatory programs for Canadian Banking.
  • Identify reporting needs and lead the design, development, and delivery of data-driven insights and solutions.
  • Support the delivery of advanced consulting advice in data analytics.
  • Provide research and insights to ensure senior management has relevant information for informed decisions.
  • Apply advanced concepts to utilize statistical modeling, data mining, and machine learning.
  • Provide insights that inform decisions influencing department strategy.
  • Perform in-depth analysis of research information to identify opportunities.
  • Develop proposals and make recommendations for management’s use.
  • Research industry best practices, tools, and systems for reporting and data analysis.
  • Identify and recommend enhancements to automated systems used to create a standardized reporting system.
  • Determine methods and approaches to work and act as a resource integrator for their area.
  • Create processes that source, modify, and check for data quality before loading to destination tables.
  • Understand the process from front-line application to end report and be able to design the best way to prepare and store data for end-user reporting.
  • Develop reports and answer ad hoc requests.
  • Answer and explain data in reports to business users.
  • Find client improvement opportunities and build comprehensive data analysis.
  • Partner with end users, managers, and directors to prioritize work and set goals on deliverables.
  • Answer business data questions, investigate data quality/SLA issues, and communicate resolution expectations.

Benefits

  • Competitive salary
  • Incentive pay
  • Banking benefits
  • Benefits program
  • Defined benefit pension plan
  • Employee share purchase plan
  • Vacation offering
  • Wellbeing support
  • MomentMakers, our social, points-based recognition program
  • Purpose Day; a paid day off dedicated for you to use to invest in your growth and development
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service