Associate Director, Insights & Analytics

Socket.dev

Toronto

On-site

CAD 80,000 - 90,000

Full time

6 days ago
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Benefits offered by this job

Work Your World program
Extended long weekends with extra day
Wellness & Tech benefits
Birthday leave
Learning & Development platform
Mobility within Publicis Groupe

Job summary

Starcom in Toronto is seeking an Associate Director, Insights & Analytics to lead and scale its MMM capability across clients and internal teams. You will shape marketing effectiveness measurement, guide data requirements and model design, and translate complex outputs into actionable recommendations for media investment and planning.

You will partner with strategy, planning and performance teams to ensure MMM learnings are embedded in budgeting and campaign optimization, while mentoring senior

Qualifications

  • Experience in marketing analytics, media measurement, or agency analytics.
  • Ability to translate technical analytics into executive narratives.
  • Strong leadership and client-facing communication skills.

Responsibilities

  • Lead MMM capability development, model approach, data collection, governance and standards.
  • Define objectives, KPI hierarchy and testable hypotheses with clients.
  • Oversee data readiness across multiple business drivers for model readiness.
  • Coordinate with analytics teams, vendors and partners on model delivery.
  • Translate outputs into actionable media investment and planning guidance.
  • Lead senior client conversations, explain methodology and limitations.
  • Integrate MMM learnings into broader media and business strategy.
  • Create scalable templates, QA processes and reporting formats.
  • Mentor managers and analysts across MMM and analytics workstreams.
  • Keep up-to-date with MMM, attribution and AI-enabled analytics.

Skills

MMM
Marketing Mix Modeling
Stakeholder mgmt
Leadership
Client consulting

Education

Bachelor’s degree or equivalent

Tools

Excel
PowerPoint
Power BI
SQL
Python

Job description

Company Description

About Us:

With a history that dates back over 80 years, Starcom is a global communications planning and media leader. We are an agency still grounded in our founding principle that people are at center of all we do. Each day, we apply this belief to harness the transformative power of data and technology to inspire and move people and business forward. With more than 7,000 employees in over 100 offices around the world, Starcom partners with the world's leading marketers and brands.

Within Canada, Starcom is a part of Publicis Media within Publicis Groupe, one of the world’s leading communications groups. Our team spans across our Windsor, Toronto and Montreal offices. We truly love the world of Media and Advertising. We see the planning and buying process as art. However, it is an art that is always best when backed by the science of empirical data.

You will be joining a well recognised agency with credentials:

  • Great Places to Work certified three years in a row
  • Only communications company to be ranked in LinkedIn’s Top 25 Great Places to Work
  • 2022 Media Agency of the Year
  • 2023 Media Agency of the Year finalist

What we Offer:

  • Work Your World program enabling you to experience working from anywhere in Canada or overseas for up to 6 weeks a year
  • Extended long weekends throughout the year with an additional day off each long weekend
  • Wellness & Tech benefits to support what’s most important to you
  • Birthday leave
  • Extensive Learning & Development opportunities, including more than 15,000 learning programs via our online learning platform as well as a Professional Development Allowance
  • Local and Global Mobility within the Publicis Groupe network
Overview

We are seeking a strategic, commercially minded Associate Director, Insights & Analytics to lead and scale our MMM capability across clients and internal teams. This role will shape the agency’s approach to marketing effectiveness measurement, guide clients through data requirements and model design, translate complex model outputs into clear business recommendations, and ensure MMM insights are embedded into planning, optimization, and investment decisions. The successful candidate will bring media strategy knowledge, measurement experience, client consulting skills, and the ability to lead cross-functional teams and external partners through complex analytics engagements.

Responsibilities
  • Lead MMM Capability: Own the development and evolution of the agency’s MMM offering, including model approach, data collection process, governance, delivery standards, and client-facing best practices.
  • Guide Model Design & Measurement Strategy: Partner with clients and internal teams to define business objectives, KPI hierarchy, brand/category structure, base versus incremental measurement needs, and testable hypotheses.
  • Oversee Data Collection & Readiness: Lead data requirement planning across media, sales, revenue, pricing, promotions, seasonality, macro factors, and other business drivers; ensure data inputs are complete, consistent, and model-ready.
  • Manage MMM Execution: Work closely with internal analytics teams, data science partners, and external vendors to support model development, validation, output review, scenario planning, and optimization recommendations.
  • Translate Outputs into Action: Turn model results into clear, practical implications for media investment, channel mix, budget allocation, flighting, diminishing returns, and future planning decisions.
  • Serve as Senior Client Consultant: Lead client conversations on marketing effectiveness, explain model methodology and limitations, present findings with confidence, and build trust with senior stakeholders.
  • Integrate Insights into Planning: Collaborate with strategy, planning, investment, performance, and client teams to ensure MMM learnings are connected to broader audience, media, and business strategy.
  • Build Tools, Templates & Standards: Create scalable MMM briefing documents, data collection templates, QA checklists, output interpretation frameworks, and executive‑ready reporting formats.
  • Advance Measurement Thought Leadership: Stay current on MMM, incrementality testing, attribution, media effectiveness, privacy-safe measurement, and AI-enabled analytics to continuously improve the agency’s measurement practice.
  • Drive AI Capability Adoption & Development: Identify, test, and scale AI-enabled tools, workflows, and best practices that improve research, analytics, reporting, and knowledge-sharing across the agency.
  • Support Broader Research & Insights Needs: Contribute to research and insights work as needed, including new business pitches, category and consumer POVs, thought leadership, client requests, and cross-agency strategic initiatives.
  • Lead & Mentor Team Members: Support the growth of managers, specialists, and analysts by providing coaching, quality control, project guidance, and capability-building across MMM and analytics workstreams.
Qualifications
  • 8+ years of experience in marketing analytics, media measurement, research, consulting, or agency/client-side analytics roles.
  • Strong understanding of Marketing Mix Modeling, including model objectives, business use cases, data requirements, interpretation of outputs, and application to media planning and budget optimization.
  • Experience managing MMM projects end to end, including scoping, client alignment, data collection, vendor coordination, model review, delivery, and post-model planning recommendations.
  • Ability to translate technical analytics into concise executive narratives, clear planning implications, and actionable recommendations for senior stakeholders.
  • Familiarity with paid media channels, including TV, digital video, social, search, display, audio, OOH, retail media, and CTV, and how these channels are measured and optimized.
  • Strong analytical fluency, with comfort reviewing data inputs, model outputs, response curves, ROI/ROAS, contribution, saturation, and scenario planning outputs.
  • Proficiency with Excel and PowerPoint expected; familiarity with Power BI, SQL, R, Python, MMM platforms, or other analytics/statistical tools is an asset.
  • Demonstrated ability to manage multiple stakeholders, timelines, and workstreams while maintaining strong attention to detail and quality control.
  • Ability to lead through influence across strategy, planning, investment, analytics, and client teams.
  • Strong leadership and mentoring capabilities, with experience guiding team members and building repeatable processes or capability standards.
  • Bachelor’s degree or equivalent practical experience preferred; advanced degree in Marketing, Statistics, Economics, Business Analytics, Data Science, or a related field is an asset.
  • We welcome candidates with diverse career paths and encourage applicants who meet most of the qualifications to apply.
Additional Information

We’re committed to building a diverse and inclusive workplace. Accommodations are available throughout the hiring process upon request.

Salary

Transparency matters to us. The salary range for this position is $80,000- 90,000 per year. Actual compensation within this range will be based on a variety of factors, including relevant experience, knowledge, skills, and applicable certifications. This range reflects what we reasonably expect to offer based on current market data.

AI Use

We use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools assist our recruitment team but never replace human decision-making. We believe in a human-first approach, where your experience and potential are recognized by people.

Starcom is an equal opportunity employer with a strong commitment to diversity and inclusion. We create and nurture a vibrant work environment that celebrates, values and leverages all aspects of diversity and inclusiveness, attracts world-class talent and serves as the industry benchmark for best practices.We encourage applications from all qualified individuals and will provide appropriate accommodation for candidates with disabilities or accessibility needs throughout the recruitment process, upon request.

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