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Global Digital Analytics Manager

Responsibilities:

 

  • Manage the setup of campaign analytics and audience/campaign research.
  • Define consistent reporting templates, formats for geos data coordinators & campaign analysts to adhere.
  • Assess and report on campaign performance leveraging multi-channel data from multiple data sources.
  • Partner with stakeholders to extract highly relevant, actionable insights and optimization recommendations.
  • Collaborate with regional Data Coordinator and Campaign analysts other team members to collect and integrate campaign performance data.
  • Deliver campaign results, insights and recommendations, as well as performance updates and ad hoc analysis as required to business stakeholders at all levels in a variety of forums (globally).
  • Deliver weekly and quarterly insights along with managing relevant dashboard, newsletters and ad-hoc reporting.
  • Active participation in the KPI setting process, hypothesis setting for optimization purpose.
  • Design Google Analytics/ Adobe templates and provide insights and analysis for the campaigns and other web based initiatives.
  • Proficient in AB testing and other web based optimization techniques.
  • Able to work hand in hand with the data collector and client’s campaign specialists.
  • Should bring strong technology leadership to drive high quality work in the areas of campaign and data analytics, data visualization etc.
  • Ability to work with stakeholders independently and able to coordinate with team members spread across different geo locations.
  • Willingness to continuously learn, upgrade skills and train others.

 Organization:

  • Conform to organization practices.
  • Experience working with large global organizations is preferred.

Skills & Experience: 

  • 8+ years of experience in managing the setup of campaign data and analytics
  • Weightage will be given to candidates who have prior experience working with large multi-national clients
  • Tool Knowledge:
  1. Visualization – Tableau, QlikSense, Power BI etc.
  2. Google Analytics, Adobe Analytics, Adobe Target etc.
  3. Database – SQLNoSQL
  4. Automated reporting systems (Origami etc.)
  5. Data access management
  6. Expertise in MS Excel and PowerPoint 
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