Supervisor, Analytics

Canvas Worldwide dares to be the challenger the ad industry needs. Do you "Challenge the Comfortable?" Then you'll fit right in here at Canvas.   Recognized as one of Ad Age's "Best Places to Work" for three consecutive years, Canvas Worldwide is an independent media agency committed to providing creative solutions for brands that challenge the status quo. Our clients include Hyundai, Kia, Genesis, MGM, Zillow and McDonald’s (to name a few…).   Our agency cultivates an environment where all are welcome to push outside their comfort zones to solve problems in new ways. We encourage the team to be its best by creating the most positive workplace experience for all. For instance, we outpace the industry on diversity and inclusion AND offer continuous training and workshops for career development. So, if you dare to challenge the comfortable… then keep reading.

The Role

This role supports the analytics function for a large, complex, multi-product portfolio client, focusing on executing measurement initiatives and delivering actionable insights.

The Supervisor is responsible for implementing analytics frameworks, supporting testing programs, and translating data into clear reporting and insights that inform day-to-day optimization decisions.

Key Duties & Responsibilities

Measurement Execution & Analytics

• Execute components of a full-funnel measurement approach aligned to business objectives
• Support implementation of test-and-learn programs including incrementality testing and experimentation
• Assist in maintaining measurement roadmaps and learning agendas
• Apply foundational statistical concepts such as confidence intervals and trend analysis
• Analyze campaign performance across attribution, brand lift, and MMM outputs
• Translate data into actionable insights

Partner & Measurement Support

• Support coordination with measurement and data partners
• Assist in managing timelines, deliverables, and reporting outputs
• Ensure data accuracy and consistency
• Help validate outputs and troubleshoot discrepancies
• Maintain documentation of inputs and assumptions

Cross-Functional Collaboration & Leadership

• Collaborate with strategy, investment, and activation teams
• Partner with BI and data teams on reporting
• Manage, mentor and train Analyst on team

Skills & Qualifications

• Bachelor’s degree in Analytics, Economics, or related field
• 4–6 years of experience in marketing analytics
• Experience with reporting and dashboards
• Familiarity with SQL Tableau, or Power BI
• Comfort with analyses like A/B testing, hypothesis testing, p-value, causal inference, MMM models, incrementality testing
• Understanding of MMM, attribution, and brand lift would be a plus
• Strong attention to detail and communication skills
• Strong initiative and ability to stay on task

Salary and Benefits Actual base salary is determined upon factors such as experience, qualifications, training, certifications, and internal equity. The Company reserves the right to modify this pay range at any time. Base salary is part of a total rewards package that includes highly competitive benefits like generous medical, dental, vision, pet insurance, commuter benefits, disability and life insurance coverage, 401(k) matching, up to 14 holidays per year, a “Do Good Day,” and unlimited PTO.   Additional perks include employee social and wellness events, a DEI Council, auto purchase rebate program, monthly wellness allowance, and in-office amenities such as fresh kombucha and an in-house barista inside our beautiful, new vibrant El Segundo office.   In-Office Work Schedule This is a hybrid role, requiring a minimum of 3 days in-office per week.   Canvas Worldwide is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.   CA Applicants: Canvas Worldwide practices Fair Chance Hiring