18 часов назад
Senior Marketing Science Analyst (Digital Marketing Measurement)
73 000 - 83 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Marketing Science Analyst (Digital Marketing Measurement): Designing and delivering testing, measurement, and analytical consulting for retail, brand, and media partners with an accent on digital marketing attribution, incrementality measurement, and large-scale data analysis. Focus on extracting actionable insights from ambiguous business challenges, diagnosing data anomalies, visualizing findings, and integrating advanced analytics into client deliverables.
Location: Canada; remote-first environment
Salary: $73,000–$83,000 CAD base hiring range
Company
operates a Shopper Consideration Platform that helps retailers and brands deliver digital promotions, savings, and shopping experiences to consumers.
What you will do
- Own the end-to-end testing and measurement process, including setup, execution, and analysis.
- Advise on testing and measurement plans and contribute to the analytics roadmap for an assigned portfolio.
- Extract, manipulate, aggregate, and model data across enterprise systems and large datasets.
- Analyze digital marketing attribution and incrementality, investigate data anomalies, and identify root causes and scalable opportunities.
- Translate analysis into actionable “So What” and “Now What” insights for internal audiences and external stakeholders.
- Lead advanced analytics and research integration into client deliverables and business reviews while defining data requirements for product and data science or engineering teams.
Requirements
- Post-secondary degree in Statistics, Mathematics, Finance, Economics, Business Engineering, or a similar quantitative discipline.
- 3+ years of experience as a data analyst delivering business impact.
- Advanced data extraction and analysis skills with SQL, Python, Scala, or R.
- Experience analyzing and visualizing data with BI tools such as Tableau, Power BI, ThoughtSpot, or Looker.
- Foundational knowledge of AWS, Azure, or GCP cloud data platforms.
- Strong understanding of retail, CPG, digital measurement, and consumer insights; able to work independently and collaboratively.
Nice to have
- Experience working with Databricks.
Culture & Benefits
- Remote-first working environment with flexibility to do your best work.
- Inclusive and collaborative environment where employee voices matter.
- Tools and opportunities for professional growth and development.
- Flexible benefits and rewards aligned with impact and career growth.
- Equal opportunity workplace with accommodations available during the selection process.
Hiring process
- Submit an application through the online application form.
- A recruitment team member will respond in the coming weeks.
- Interviews are coordinated with an AI-powered scheduling tool, while evaluations and hiring decisions are completed by people.
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