drjobs Marketing Science Lead

Marketing Science Lead

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1 Vacancy
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Job Location drjobs

Toronto - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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 youre looking for. And youll 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 Fridays (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 an effort to do so we expect our team to work from an office a minimum of 3 days a week.

Employment Type

Full Time

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