Senior Manager Analytics
Doha, Qatar
منذ 14 يوم

About Us :

Ooredoo is a dynamic global Telecommunications player operating in 10 countries serving more than 138 million customers.

Ooredoo Qatar employs approximately 1,600 people driving Ooredoo to be the number one choice for world-class communications services in Qatar, and it is a team that you can be part of!

About the Business Unit :

Ooredoo's Consumer business unit is a critical part of the company’s first line customer facing activities for all consumer product offerings and has a significant role to play in long term business value creation through product design, achievement of sales revenue, profit and customer satisfaction, as defined in the annual business plans.

The Analytics team within Consumer Planning & Analysis team create business value by harnessing Ooredoo’s data assets. The team consists of techno commercial resources who use technology and wide variety of data realms to solve business challenges.

The span of activities is not only limited to marketing but also covers sales and distribution, networks, finance and strategic areas.

The team is responsible to deliver insights and status quo and also considered as advisory function to design and deliver sharper, efficient, value driven decisions through the use of commercial data science practices.

About the Role :

This role is expected to drive / support the BI, reporting, Insights, campaigns, measurement and marketing frameworks activities for the analytics function.

If you would like to view the full role profile, please click here.

About You :

You are required to have at least :

  • 10 years’ experience in business led BI role in organizations which depend on customer intelligence heavily such as telecom, retail, utility, transport, retail banking industries.
  • 3 5 years with a telecom operator in similar capacity, specifically leading BI teams.
  • Expert level expertise in reporting platforms such as Qlik, Tableau, BO, Cognos, Microstrategy etc.
  • Strong hands-on expertise in SQL / SAS / R / Python.
  • Knowledge and understanding of structured and unstructured data streams and storage systems.
  • Exposure to data governance, machine learning and logical data models a big plus.
  • Must have been part of multiple ground-up BI initiatives.
  • Excellent communication, cross functional collaboration and presentation skills.
  • Aptitude to translate business requirement into simple technical flow.
  • Experience in managing small medium technocommercial teams with a mix of report developer, insight analyst, modeller, visualization experts.
  • Note : you will be required to attach the following :

    1. Resume / cv

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