Marketing Science Lead (Media Analytics)

As a Marketing Science Lead, you are endlessly curious, always asking the next question to demonstrate the value of marketing science to internal and external stakeholders. With 5 to 8 years of experience leading media analytics projects, you have developed expertise in measurement, reporting, data integration, testing, data visualization, and statistical modeling. You optimize digital marketing through data-driven insights, enjoy cross-functional collaboration, and excel at mentoring analysts to translate findings into actionable recommendations.

You’re eager to grow as a leader by managing a team of analysts, overseeing their priorities, deliverables, and development, while exposing them to all areas of marketing science to expand their skillsets.

Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from the Toronto office on Mondays and Thursdays.

You will:

• Ensure analyses, dashboards, and reports meet client needs and deliver actionable insights.

• Shape analytics content and provide thought leadership on methodology and technology.

• Lead end-to-end measurement strategy across multiple accounts and campaign types.

• Partner with media, strategy, and client teams to evaluate how performance is understood and guide optimization.

• Bring proactive recommendations — not just observations.

• Oversee the mapping and implementation of data flows, and ensure compliance with data governance.

• Manage, coach, and develop analysts, and participate in hiring and training.

• Occasionally support senior colleagues with analytics material for new business pitches and request for proposals.

You have:

• B.S. degree in a quantitative or technical field. Including but not limited to economics, mathematics, business, finance, social sciences, computer science, or information management. M.S. degree preferred.

• Expertise in Python, R, SQL, or other business-relevant statistical programming language.

• Expertise with at least two of the following: data architecture (ETL/data integration), automated data ingestion + reporting, data science and statistical programming, testing and personalization, data visualization, website systems implementation.

• Experience with visualization platforms (Domo, Tableau, Power BI, Looker etc.), and knowledge of their strengths and limitations.

• Advanced skills in common Microsoft 365 products (Excel, PowerPoint, etc.).

• Experience using GA4.

• Strong communication skills with client-facing experience.

• Proven ability to lead and collaborate with cross-functional teams to deliver measurement solutions that optimize media performance and business impact.

• Experience directing and mentoring analysts.

• 5+ years in media analytics implementation, including:

• Hands-on management of analytics projects to optimize media investment.

• Working with media platforms (Social platforms, CM360, DV360, etc.).

• Media taxonomy strategy and governance.

• Developing measurement plans using first- and third-party data.

• Designing and executing test & learn programs, coordinating test set ups, learning agendas and presenting results.

You may have:

• Experience working with third-party data tools (Brandwatch, Pathmatics, etc.), website experimentation platforms (Optimizely, Adobe Target, etc.), or Customer Data Platforms (CDP), and their integration into MarTech ecosystems.

What we offer:

• Global maternity and parental leave

• Competitive benefits packages

• Vacation, compassionate leave, personal/sick days, and flex days

• Access to online services for families and new parents

• Early Dismissal Friday’s (off at 3:00 PM local time every Friday)

• 13 affinity groups

• Internal learning and development programs

• Enterprise-wide employee discounts

We continually review ranges to address skills, experience and markets. Base salaries are determined during our interview process, by assessing a number of factors that include, but aren’t limited to, a candidate’s experience and skills relative to the scope and responsibilities of the position. For current CM employees, tenure will also be a consideration.
Salary Range
$90,000—$120,000 CAD

Critical Mass is an equal opportunity employer.

Critical Mass uses artificial intelligence in our recruitment process to enhance job postings, filter keywords during the review of prospective candidates, and, in some cases, transcribe interviews with our recruiters. Human review remains central to the process, and all hiring decisions are ultimately made by our team.

The Critical Mass Talent Acquisition team will only communicate from email addresses that use the URLs criticalmass.com, omc.com and us.greenhouse-mail.io. We will not use apps such as Facebook Messenger, WhatsApp, or Google Hangouts for communicating with you. We will never ask you to send us money, technology, or anything else to work for our company. If you believe you are the victim of a scam, please review your local government consumer protections guidance and reach out to them directly.

If U.S. based: https://www.consumer.ftc.gov/articles/job-scams#avoid
If Canada based: https://www.canada.ca/en/services/finance/consumer-affairs.html
If U.K. based: https://www.gov.uk/consumer-protection-rights
If Costa Rica based: https://www.consumo.go.cr/educacion_consumidor/consejos_practicos.aspx