CVM Analytics - Pune
Vodafone Limited
15d ago

The primary purpose of this role is to deliver analytical / decision services to Vodafone’s businesses across the globe.

The role works withdepartments across Vodafone (e.g. Finance, Technology, and Commercial teams), and is a part of the Vodafone Shared Services organisation in India.

The incumbent works on the assigned projects & it's stakeholder to understand the business challenges faced by them. Using expertise in analytics, the incumbent provide structured and data-

backed analytics solutions to create bottom-line impact for the business. The roleleverages / re-engineers existing solutions to delivery efficiently.

The role also demands an innovation led approach to delivery through the use of evolvinganalytical techniques / technologies.

The candidate works with the assigned business stakeholder(s) toagree scope, deliverables, process and expected outcomes from the products andservices developed.

Support build & deploymentof analytical solutions (models, hypothesis, analyses & scenarios) across the spectrum of analytical maturity-

descriptive, inferential, predictive & prescriptive

Leverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomes

Drive efficiencies in how analytical services aredelivered, through automation and standardisation of analytical delivery

  • Provide a delightful and easy to work experience to the business stakeholders while setting clear expectations
  • None

  • PhD / Masters in Analytics, Operations Research, Statistics or similar / MBA from a premier B-school
  • Hands on experience in Analytical tools like SAS, SPSS, R with through knowledge of various analytical & statistical techniques

    Adequate exposure to Data visualisation tools like Tableau, Qlikview, SAS Visual Analytics, etc.

  • Exceptional data manipulation and analysis techniques; comfortable using very large (>
  • 10’s millions rows) datasets, containing both structured and unstructured data

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