Marketing Science Lead
in Toronto.
As a Marketing Science Lead, your curiosity never ends. The next question is always on your mind, helping you demonstrate the value of marketing science to internal and external stakeholders. You bring in 5 to 8 years of experience, leading others in delivering Marketing Science projects across a broad range of initiatives, with a demonstrated expertise in: tracking and measurement, implementation, reporting, data visualization, testing and evaluation, data integration, or statistical modeling. You have experience optimizing Digital Marketing efforts by systematically using data-driven insights, enjoy collaborating with others, and excel at leading and training juniors to translate findings into clear, actionable and executable insights.
Gaining leadership experience through supervising and developing a passionate team of analysts (including managing their work priorities, timelines, deliverables, and training) is something you’re looking for. And you’ll expose your analyst to all Marketing Science sub-disciplines to help develop their expertise.
You will:
- Ensure that the analyses, reports, dashboards, and other deliverables created by the team fulfill client needs.
- Shape analytics content and provide point of view on methodology and technology.
- Lead the ideation, development and execution of measurement strategies and frameworks.
- Assist in mapping and implementing data flows and ensure compliance with data governance protocols.
- Manage, develop and motivate analysts: participate in resourcing, hiring and training planning.
- Keep abreast of product updates (Adobe Launch Tag Management System), best practices and proactively follow up with required changes in our implementation and appropriate communications.
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.
- Advanced Microsoft Excel and Microsoft Office skills, with strong verbal and written communication skills, considerable experience presenting directly to clients.
- 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 two or more visualization platforms: Tableau, Domo, Power BI, and knowledge of the strengths and weaknesses of the market leaders.
- Experience providing task direction and/or mentoring junior analysts.
- Media:
- 5+ years' experience in Digital analytics implementation
- Experience with Media performance platforms such as Meta, DCM, Google, DV360, LinkedIn, Pinterest etc.
- Experience with media taxonomy strategy, management and governance.
- Experience developing measurement plans across first- and third-party data sources.
- Experience in audience performance.
- Experience in test & learn programs coordinating test set ups, learning agendas and presenting results.
- Additional experience with visualization tools (Tableau or Power BI) building dashboards and creating ETL pipelines.
- Data Engineering/Architecture:
- Experience with ETL techniques, and some involvement in data architecture.
- A/B Testing and Multi-Variate Testing:
- Experience with two or more testing platforms such as Monetate, Adobe Target, Piano, etc.
Nice-to-Have:
- Experience working with third-party data tools such as Web, Brandwatch, Pathmatics, or Helixa.
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
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 an office a minimum of 3 days a week.
Critical Mass is an equal opportunity employer.
The Critical Mass Talent Acquisition team will only communicate from email addresses that use the URLs criticalmass.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