Sr Data Analyst with strong SQL, Big Query, Meta, Google Ads, and Digital Marketing experience to interpret, build insights based off existing customer dat

apartmentS.i. Systèmes placeToronto calendar_month 

Our client is Canada's largest retailer. They are looking for a Sr Data Analyst with strong SQL, Big Query, Meta, Google Ads, and Digital Marketing experience to interpret, build insights based off existing customer data.

Duration: 1yr
Location: 3 days onsite Toronto

Project: Supporting market segment creation for our client’s ecommerce channels.

Responsibilities:

  • Conduct in-depth analysis of CDP ID resolution and C360 results to identify trends, patterns, and insights in support of audience strategy.
  • Collaborate with the Manager to present findings to business unit Spoke teams, providing actionable recommendations based on the analysis.
  • Utilize query logics to translate audience requirements into audience prototypes.
  • Collaborate with the Data Core team to provide clear and comprehensive requirements for the production of data products.
  • Ensure that the data products enable Spoke teams to perform analytics on customer data effectively.
  • Develop and build robust visualization and analytics products to help Spoke teams better understand their customer base.
  • Utilize tools and technologies to create user-friendly and insightful visualizations and analytics products.
  • Build audience segments in CDP and push them to the activation platform.
  • Continuously monitor and aid Spoke teams to adopt the use of CDP for self-serve segmentation needs.
  • Build audiences in the experimentation platform in support of onsite and in-app experimentation for all LOBs.

Must Haves:

  • 5+ years Sr Data Analyst
  • Expert SQL
  • Expert Big Query (Analytical side - SQL Queries to pull data and interpret results to the business)
  • Large data sets
  • Digital Marketing experience
  • Meta, Google Ads

Nice to Haves:

  • Experience with third party paid media platforms in terms of audience creation

Apply

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