Display Advertising Analyst is  looking into paid  display advertising   using analysis to improve   performance of this marketing  channel. By looking at data and  using set of  visualizations  drafting  conclusions  and suggestions   actions for reaching   better performance, better ROI – Return on Invest in  Display advertising.

Display ads are just  advertising boxes which You can see on many many websites  promoting products, services or brand awareness . They of course can be different from small  banner ads  to billboard  ones covering  whole  page. They may be pictures, gifs or even whole videos.  Main target of them is  to convince user to quick  conversion.

Display advertising is a way to monetize website traffic by advertising on website  using different types of display ads.

Display Advertising Analyst resume should include:

• Experience in Running successful Paid advertising  campaigns  , handling bigger budget.
• Targeted and retargeted display marketing project experience.
•  Very strong analytical ability and expertise in Excel and Power Point
• Ability to provide Display campaings tweaks and recommendations.
• Knowledge  on  SEM data sources ( Adwords, GA, Semrush, Similarweb Searchmetrics)
• Good analytical skills ( example of  analysis – what was the aim, what was the process ( how data was pulled, analyzed, visualized ) what was the insights , what were recommendations  and how was it implemented and measured )
• Analytical skills,  data science skills, statistical skills math.
  
• Knowledge off platforms for setting up reporting  –  GA, GDS, Gsheets, Power Bi, Tableau etc.

For Display Ad Analyst  most important basic skills would be:

• Math ( it`s a must- without  fluent basic math, percentage, growth  You are not able

 

• Charts plots  comparisons reading

 

• Excel skills ( pivot table, functions: vlookup, countifs, sumifs, averageifs, if, and, or, left, right)

 

• Analysis :
  • Narrative Analysis
  • Descriptive Analysis
  • Basic forecasting

 

• Reporting
  • Automate dashboards (excel)
    
  • Using reporting platforms ( Tableau, Power BI, Google Data Studio)
  • Data visualization skills

Creative ideas

Understanding UX ,

A/B and Multivariate  testing.