Job Description :

 Skills/Programs:

  • Solid experience in data analytics tools such as A e Analytics or Google Analytics (A e is more robust and often indicates a stronger skillset compared to Google.)
  • Experience in applying Data Sciences models or leading engagement involving large sales and Consumer data sets that led to improved ROI from Marketing programs
  • Experience in leading Data and analytics engagement with Visualization tools such as Qlik, Tableau or Power BI
  • Sound Knowledge of Hyperscalers/Cloud technologies such as AWS
  • Proven ability to create impactful dashboards to senior management that demonstrate marketing impact
  • 5+ years working with marketing data such as Media spend/engagement, Sales, Brand Health, website traffic and CRM
  • Demonstrated success running impactful marketing analysis through advanced statistical analysis with the ability to simplify complexity to senior management.
  • Experience in data visualization and statistical modeling tools such as Tableau (part of Salesforce), Domo, Power BI, Python, R (A e also offers data visualization so someone could have that experience as well. It's just not at the level of Tableau/Domo.)
  • Proficiency with online/offline data
  • Experience with extensive datasets from Snowflake, Microsoft, Salesforce, A e or similar
  • Experience with machine learning and NLP techniques
  • Experience with Informatica, Collibra or similar Data Governance tools and/or governance processes
  • Experience with Google Ads Data Hub, A e Marketing Cloud, Amazon Marketing Data Cloud or similar (We may not use these, but if a person has worked with or can speak to these type of technologies, it will be an indicator that they have an understanding of a marketing analytics ecosystem compared to other analytics ecosystems, since most complex marketing analytics environments will make use of at least one of these technologies. I personally have used Google Ads Data Hub & A e Marketing Cloud.)
             

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