Analytics & Insights Analyst

Analytics & Insights Analyst at BMO

The AIR MILES Reward Program is one of Canada’s most recognized loyalty programs, with over 10 million active collector accounts, representing more than half of all Canadian households. AIR MILES collectors earn Reward Miles at more than 300 leading Canadian, global and online brands and at thousands of retail and service locations across the country. AIR MILES is a wholly owned subsidiary of the Bank of Montreal (BMO). BMO is Canada’s oldest bank and the 8th largest in North America with more than 12 million customers globally.

Position Overview

We are looking for a curious, detail-oriented Analytics & Insights Analyst to join the Marketing Analytics team. This role supports lifecycle and mass marketing programs by delivering best-in-class analytics insights and bridges business problems with data. This role is ideal for someone with strong coding and data fundamentals (e.g., SQL, Python, or PySpark) who enjoys solving complex problems.

Responsibilities

• Applies subject matter expertise in customer loyalty, marketing analytics and technical aptitude across the AMRP analytics stack
• Contribute to all phases of campaign management (ideation, planning, targeting, measurement, recommendation) with a focus in pre-analysis and post-analysis
• Work collaboratively with internal business partners to clearly define analysis / campaign scope, objectives, targeting & measurement strategy for marketing initiatives
• Conduct timely customer analysis and campaign measurement to identify opportunities for clients to maximize the use of AIR MILES Reward Program to drive incremental sales
• Present analysis results and recommendations in business language in different forums/meetings
• Develop and maintain automated dashboards and reporting solutions
• Automate and make process and tool improvement suggestions to drive operational efficiency

Qualifications

• Bachelor’s degree, preferably in any of the following: Statistics, Commerce, Economics, Computer Science, Engineering, Math
• Demonstrated understanding of loyalty marketing, customer segmentation, campaign management & predictive modeling concepts
• 1-3 years of customer analysis / insight delivery experience in a complex data-driven organization
• Hands-on proficient experience with SQL, Python, Databricks, Sigma and Tableau, or comparable tools/languages
• Expert in Microsoft Office (advanced Excel and PowerPoint)
• A strategic/analytical thinker who can link assigned tasks to the bigger picture
• Problem solving skills coupled with the “can do” attitude
• Strong organizational, time management and communication skills (verbal and written)

Key skills/competency

• SQL
• Python
• Databricks
• Tableau
• Marketing Analytics
• Customer Segmentation
• Loyalty Programs
• Campaign Management
• Data Analysis
• Predictive Modeling