Description

At Bond, we build growth and loyalty for some of the world’s most recognized brands. Behind that work is a team of smart, curious people who care deeply about clients, each other, and building something meaningful together.

The Client Analytics team plays a key role in this mission, driving strategy, uncovering actionable insights, and enabling data-driven decision-making for leading brands across industries such as retail, banking, automotive, QSR, and grocery.

As a Manager, Client Analytics, you will lead the delivery of high-impact analytics engagements while managing and developing a team of analysts and consultants. Sitting between hands-on analytics leadership and emerging people and account management, you will own the quality and execution of client deliverables, guide the application of advanced analytics, and serve as a key analytics point of contact for client relationships.

This role is ideal for someone ready to step beyond individual delivery into team leadership and project ownership, balancing technical depth, client-facing communication, and the coaching of junior team members. You'll partner closely with senior leaders to grow accounts and shape delivery,



while taking accountability for the day-to-day success of your engagements.

Requirements

- 6-8 years of experience in analytics, marketing consulting, loyalty strategy, or business/management consulting, ideally in a client-facing role.
- Bachelor's degree in a related field required; Master's degree preferred.
- Demonstrated experience managing projects and leading or mentoring team members.
- Proven ability to present complex insights to both technical and non-technical audiences, including senior stakeholders.
- Comfortable leading client meetings, workshops, and presentations with a high level of professionalism and clarity.
- Robust interpersonal skills, with the ability to build rapport and influence cross-functional teams.
- Proficiency in SQL and Python or R; familiarity with Snowflake and Databricks is an asset.
- Deep understanding of advanced analytics techniques (e.g., supervised/ unsupervised learning, statistical testing, simulation, optimization).
- High proficiency in Microsoft Excel and PowerPoint, with a knack for turning data into engaging visual presentations.

📌 Manager, Client Analytics (Toronto)
🏢 Bond Brand Loyalty
📍 Toronto