• Education: An advanced university degree (Master's degree or higher) in Mathematics, Statistics, Economics, Computer Science, Engineering, or equivalent fields is required. Alternatively, a first-level university degree (Bachelor's degree or higher) with an additional 2 years of experience in relevant fields may be accepted in lieu of an advanced university degree.
• Work Experience: A minimum of five years of progressive experience in the following fields: Google Analytics, GTM, data pipeline setup for digital tools such as BigQuery data warehouse, Salesforce Marketing Cloud, Facebook Capi, Google Ads, programmatic, display ads, Optimize 360, or Optimizely implementation is required. At least three of those years must include hands-on expertise in Google Analytics, with experience working in Google BigQuery environments is required.

- Experience in implementing and managing Google Analytics (GA360) for large brands is required.

- Experience working with paid media data, including but not limited to DCM data, Google analytics 360 data, QA, and data validation in warehouse environments, is required.

- Experience working with Cloud Platform environments and data warehouses such as BigQuery Data Warehouse or Microsoft Azure is required.

- Experience in writing SQL and Python.

• Skills: Understanding of GA4 360/Big Query/Data Activation/Data Models/Data Pipelines is required.
• Language Requirements: Fluency in English is required. Knowledge of another UN language is desirable.
• Desirables:

- Experience working directly with business users to build reports, dashboards, and solve business questions with data is desirable.

- Prior experience in a UN organization is desirable.

- Experience working with JIRA is an asset.

- Ability to lead one’s own projects and work independently once given a direction is an asset. - Understanding the media ads tracking principle as well as the cross-platform data integration technology is an asset.