ABOUT XAPADS MEDIA:

Xapads Media, which started as a garage start-up in 2008, is now an Ad-Tech conglomerate,

headquartered in India, with 9 offices in 6 countries, with a 200+ robust team, offering 360* Digital

Marketing Solutions to our esteemed clients in 20+ countries.

Xapads is a Technology First Advertisement Company, where we have built & perfected our Artificial Intelligence & Machine Learning engine Xerxes & Xaprio, over the years, using the power of Big Data &Predictive; Algorithms, allowing us to run highly targeted Branding & Performance Campaigns,which not only meet but even exceed the KPI expectations of the client, bringing in premium customers, higher LTAV and best in class ROAS for esteemed brands.

Xapads is a Technology First Advertisement Company, where we have built & perfected our Artificial Intelligence & Machine Learning engine Xerxes & Xaprio, over the years, using the power of Big Data & Predictive Algorithms, allowing us to run highly targeted Branding & Performance Campaigns, which not only meet but even exceed the KPI expectations of the client,



bringing in premium customers, higher LTAV and best in class ROAS for esteemed brands.

JOB SUMMARY:

We are looking for an energetic and street-smart individual to join our rapidly growing team. The ideal candidate should be extremely focused, goal-oriented, energetic and should possess knowledge about different ad platforms.

ROLES RESPONSIBILITIES:

 One will work with large amounts of data related to user behaviour via Internal Product

feed. He/She will need to see through the data and analyze it to find conclusions.

 Collecting, analyzing, and developing KPI’s to identify key insights such as trends, potential

risks, opportunities.

 Using modelling and analytics to understand how data impact campaign life-cycle. This may

include assessing risks, determining fraud policies, or identifying inefficiencies in existing

operations.

 Revenue Goal/Growth Attainment.

 Providing suppo

📌 Data Analyst (Noida)
🏢 Xapads Media
📍 Noida