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Manager, Client Analytics

  • Toronto, ON, Canada

$97,416.55 to $129,764.75 CAD / year

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Job details

Pay
$97,416.55 to $129,764.75 CAD / year
Education
Bachelor’s degree
Experience
6-8 years of experience in analytics, marketing consulting, loyalty strategy, or business/management consulting, ideally in a client-facing role.
Posting language
English
Posted

Original job 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. 
  • 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.
  • Strong 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.
Client & Delivery Leadership 
  • Serve as a primary analytics point of contact for assigned client relationships, ensuring insights align with strategic business goals.
  • Own the analytics roadmap for assigned clients, connecting analytics initiatives to business objectives and identifying priorities across current and future engagements.
  • Design and execute analytics projects end to end, structuring approaches, managing scope, timelines, and quality to deliver high-impact solutions.
  • Present findings to client stakeholders with a polished, professional delivery style, using data storytelling and visualization to drive business impact.
  • Act as a trusted advisor by identifying opportunities where analytics can add value and proactively recommending solutions.

Analytics Excellence 
  • Lead the development and application of advanced analytics models such as customer lifetime value, segmentation, propensity, financial forecasting, and attribution modeling.
  • Translate complex analytical findings into clear business language that supports strategic decision-making and continuous optimization.
  • Oversee report development and performance monitoring tools to support ongoing client success.

People & Team Leadership 
  • Manage, mentor, and develop a team of analysts and consultants, providing coaching, feedback on deliverables, and support for professional growth.
  • Set clear objectives for team members and support ongoing performance development.
  • Build team capabilities across analytics, storytelling, and strategic thinking.

Business Contribution 
  • Contribute to business development through proposal writing, pitch decks, and scoping, with a focus on showcasing the value of analytics.
  • Support account growth by identifying expansion opportunities within existing engagements.
  • Manage project-level resourcing and utilization to ensure efficient, high-quality delivery.
Compensation: The expected base salary compensation for this role is $97,416.55 to $129,764.75 CAD annually.
Use of Artificial Intelligence (AI): Bond uses AI tools during parts of the screening, assessment, and selection process, supporting a fair and efficient hiring process. We welcome applications from all qualified candidates; however, only those selected for an interview will be contacted.  
Vacancy Type: This posting is for a newly created vacancy within Bond. 
The actual base salary compensation will vary depending on local market conditions, geography, and relevant job-related factors such as skills, qualifications, experience, and education/training.  
 
At Bond, we believe compensation is more than a salary. Our Total Rewards program is designed to help you grow your career, support your well-being and keep you meaningfully connected:    
Flexibility: A hybrid work model and flexible vacation offers agility to meet the needs of our global business and workforce, allowing us to inspire the best from our people. 
Moments that matter: Social events like F1rst Thursdays, Kick-Off gatherings, and holiday parties make it easy to build relationships and have fun. 
Health & Wellness support: Competitive healthcare and wellness benefits that care for both body and mind including Medical, Dental, Vision, Health Care Spending Account, Employee Assistance Program, access to 24/7 virtual healthcare and/or consultation services for you and your family - all available from your first day. 
Future-focused: Retirement planning assistance with company matching.  
Career development: Access to learning programs, mentorship, stretch projects, and internal mobility to keep you moving forward. 
Celebrating your impact: Recognition programs for individual and team achievements, peer-nominated awards, and service anniversaries.
More about this job

Responsibilities

The Manager, Client Analytics will lead the delivery of high-impact analytics engagements while managing and developing a team of analysts and consultants. They will serve as a primary point of contact for clients, ensuring that analytical insights align with strategic business goals and drive decision-making.

Requirements

Candidates must have 6-8 years of experience in analytics, marketing consulting, or business consulting, with a strong proficiency in SQL and Python or R. A bachelor's degree is required, and the role demands proven experience in project management, team leadership, and presenting complex insights to senior stakeholders.

Skills

  • SQL
  • Python
  • R
  • Snowflake
  • Databricks
  • Data storytelling
  • Advanced analytics
  • Customer lifetime value
  • Segmentation
  • Propensity modeling
  • Financial forecasting
  • Attribution modeling
  • Project management
  • Team leadership
  • Strategic consulting
  • Microsoft PowerPoint

Benefits

  • Medical
  • Dental
  • Vision
  • Health Care Spending Account
  • Employee Assistance Program
  • Virtual healthcare
  • Retirement planning assistance
  • Company matching
  • Learning programs
  • Mentorship
  • Flexible vacation
  • Recognition programs

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Management & Leadership
  • Consulting
  • Marketing
  • Technology

Keywords

  • Analytics
  • Marketing Consulting
  • Loyalty Strategy
  • Business Consulting
  • SQL
  • Python
  • R
  • Snowflake
  • Databricks
  • Supervised Learning
  • Unsupervised Learning
  • Statistical Testing
  • Simulation
  • Optimization
  • Microsoft Excel
  • Microsoft PowerPoint
  • Data Storytelling
  • Customer Lifetime Value
  • Segmentation
  • Propensity Modeling
  • Financial Forecasting
  • Attribution Modeling
  • Project Management
  • Team Leadership
  • Business Development
  • Client-facing
  • Strategic Planning
  • Performance Monitoring
  • Data Visualization
  • Cross-functional Teams

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