Supervisor, Analytics (Digital Media)

Canvas Worldwide

New York (NY)

Hybrid

USD 85,000 - 100,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work schedule
Birthday holiday
401(k) matching

Job summary

Canvas Worldwide in New York, NY is seeking a Supervisor to support analytics for GT’s Living Foods, spanning brand, media, and sales outcomes. You will execute full-funnel measurement, establish KPIs, and translate performance into insights to optimize investment decisions.

The role emphasizes cross-functional collaboration, data quality, and client-ready reporting. A hybrid in-office schedule applies with strong emphasis on data governance and stakeholder communication.

Qualifications

  • Bachelor’s degree in Analytics, Economics, or related field.
  • 4–6 years of experience in marketing analytics, media analytics, or a related discipline.
  • Strong Excel and PowerPoint skills, with experience producing client-ready reporting and recommendations.
  • Experience with reporting and dashboards; familiarity with Power BI, Tableau, SQL, or comparable tools.
  • Working knowledge of digital and social media metrics.
  • Comfort with analyses such as A/B testing, hypothesis testing, p-values, confidence intervals, causal inference, MMM, and incrementality testing.
  • Understanding of brand lift, attribution, conversion or sales lift, and full-funnel measurement.

Responsibilities

  • Execute full-funnel measurement approach aligned to campaign and business objectives as directed by the Associate Director of Analytics.
  • Establish campaign KPIs and measurement plans in collaboration with strategy and channel teams.
  • Analyze campaign performance across media delivery, brand lift, conversion, sales, and MMM outputs.
  • Apply foundational statistical concepts such as confidence intervals, statistical significance, benchmark comparison, and trend analysis. Support brand lift, sales lift, incrementality, and test-and-learn programs from feasibility through final readout.
  • Own the development and delivery of recurring campaign reporting, mid-campaign updates, post-campaign wraps, and ad hoc analyses.
  • Build concise, client-ready PowerPoint narratives that explain what happened, why it matters, and what should happen next.
  • Connect media performance with brand health, shopper behavior, retail sales, new-to-brand, conversion value, and ROAS where available.
  • Maintain reporting calendars, deadlines, review rounds, source files, and final deliverables across concurrent campaigns.
  • Coordinate with measurement and data partners across feasibility, scoping, setup, tagging, survey development, mapping, reporting, and final interpretation.
  • Document inputs, assumptions, methodology, limitations, and decisions.
  • Validate partner outputs, ask informed methodology questions, and troubleshoot discrepancies with internal and external teams.
  • Ensure data accuracy and consistency across platform exports, media plans, measurement studies, retail files, and dashboard outputs.
  • Reconcile dashboard results against source platforms and establish a reliable manual source of truth when automation is incomplete.
  • Track data issues through resolution and validate fixes before results are used in client reporting.
  • Collaborate with strategy, investment, activation, ad operations, retail, creative, and account teams.
  • Serve as a day-to-day analytics contact for internal stakeholders, clients, and measurement partners.
  • Proactively identify risks, missing inputs, and opportunities before they affect campaign or reporting deadlines.
  • Create repeatable templates, documentation, and handoff materials that improve consistency and team coverage.

Skills

Excel
PowerPoint
Client-ready reporting
Digital & social metrics
A/B testing
Hypothesis testing
Confidence intervals
MMM & Incrementality
Brand lift & attribution
Full-funnel measurement
Attention to detail
Written communication
Presentation
Project management
Independent work
Cross-functional collaboration

Education

Bachelor’s degree in Analytics, Economics, or related field

Tools

Power BI
Tableau
SQL

Job description

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 GT’s Living Foods, a fast-moving, multi-brand consumer portfolio spanning brand, media, and sales outcomes.


The Supervisor is responsible for executing measurement initiatives, managing campaign reporting, maintaining data quality, and translating performance into clear insights and recommendations that inform optimization and future investment decisions.


Duties & Responsibilities

Measurement Execution & Analytics


  • Execute full-funnel measurement approach aligned to campaign and business objectives as directed by the Associate Director of Analytics

  • Establish campaign KPIs and measurement plans in collaboration with strategy and channel teams

  • Analyze campaign performance across media delivery, brand lift, conversion, sales, and MMM outputs

  • Apply foundational statistical concepts such as confidence intervals, statistical significance, benchmark comparison, and trend analysis. Support brand lift, sales lift, incrementality, and test-and-learn programs from feasibility through final readout


Reporting & Storytelling


  • Own the development and delivery of recurring campaign reporting, mid-campaign updates, post-campaign wraps, and ad hoc analyses

  • Build concise, client-ready PowerPoint narratives that explain what happened, why it matters, and what should happen next

  • Connect media performance with brand health, shopper behavior, retail sales, new-to-brand, conversion value, and ROAS where available

  • Maintain reporting calendars, deadlines, review rounds, source files, and final deliverables across concurrent campaigns


Partner & Measurement Support


  • Coordinate with measurement and data partners across feasibility, scoping, setup, tagging, survey development, mapping, reporting, and final interpretation

  • Document inputs, assumptions, methodology, limitations, and decisions

  • Validate partner outputs, ask informed methodology questions, and troubleshoot discrepancies with internal and external teams


Data Quality, Dashboards & Governance


  • Ensure data accuracy and consistency across platform exports, media plans, measurement studies, retail files, and dashboard outputs

  • Reconcile dashboard results against source platforms and establish a reliable manual source of truth when automation is incomplete

  • Track data issues through resolution and validate fixes before results are used in client reporting


Cross-Functional Collaboration & Leadership


  • Collaborate with strategy, investment, activation, ad operations, retail, creative, and account teams

  • Serve as a day-to-day analytics contact for internal stakeholders, clients, and measurement partners

  • Proactively identify risks, missing inputs, and opportunities before they affect campaign or reporting deadlines

  • Create repeatable templates, documentation, and handoff materials that improve consistency and team coverage


Skills & Qualifications


  • Bachelor’s degree in Analytics, Economics, or related field

  • 4–6 years of experience in marketing analytics, media analytics, or a related discipline

  • Strong Excel and PowerPoint skills, with experience producing client-ready reporting and recommendations

  • Experience with reporting and dashboards; familiarity with Power BI, Tableau, SQL, or comparable tools

  • Working knowledge of digital and social media metrics

  • Comfort with analyses such as A/B testing, hypothesis testing, p-values, confidence intervals, causal inference, MMM, and incrementality testing

  • Understanding of brand lift, attribution, conversion or sales lift, and full-funnel measurement

  • CPG experience is a plus

  • Strong attention to detail, written communication, presentation, and project-management skills

  • Strong initiative, curiosity, and ability to stay organized across multiple concurrent deadlines

  • Ability to work independently, identify ambiguity, and drive cross-functional follow-through


$85,000 - $100,000 a year


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 and monthly wellness allowance.


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


We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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