Manager, Data Analytics

Moneris•Toronto, ON

13d•CA$118,000 - CA$154,000•Hybrid

About The Position

This role involves leading a team of analysts to deliver data-driven insights that support business performance, operational efficiency, account retention, and strategic decision-making. The position combines hands-on analytics, team leadership, and executive-level reporting. The Manager will act as a subject matter expert for enterprise analytics platforms, data pipelines, and business intelligence tools, ensuring that analytical outputs align with business priorities. The role is based in the Toronto office with a hybrid work arrangement.

Requirements

Bachelor’s degree in business, Computer Science, Applied Mathematics, Statistics, or a related field; equivalent experience considered.
5-7 years of experience working with relational databases and multiple data sources.
2-3 years of leadership experience.
Experience applying quantitative methods to develop scalable analytics solutions.
Advanced SQL expertise, including query optimization.
Experience with business intelligence platforms such as Power BI or Tableau, including data modeling and governance.
Working knowledge of Snowflake, including performance and cost optimization.
Proficient in translating complex data problems into scalable analytics solutions.

Nice To Haves

MBA or equivalent.
Experience in the payments industry.
Experience in systems and technology analysis.
Programming experience (e.g., Python, R, or similar).

Responsibilities

Lead collaboration with Enterprise Information Management and Business Intelligence teams to define data requirements and improve data accuracy, integrity, and governance.
Oversee data management and accessibility for Enterprise Analytics teams, ensuring efficient storage and retrieval.
Own the Enterprise Analytics revenue data repository, ensuring accuracy of revenue reporting by merchant and product, with monthly reconciliation against financials.
Align analytical resources and priorities to deliver on Enterprise Analytics objectives, including product P&Ls and strategic initiatives.
Translate complex data into actionable insights, identifying trends, risks, and opportunities across the business.
Define and maintain consistent business logic and data definitions for revenue models, segmentation, and reporting across stakeholders.
Deliver regular reporting and dashboards (daily, weekly, monthly), including performance reviews and executive summaries.
Ensure documentation, testing, and validation of analytical models, processes, and reporting outputs.