Company Name:-
Vodafone

Job Location:-
Pune, Maharashtra

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

The role works with CFSL (Corporate Function Service Line) team and is a part of the VOIS (Vodafone Shared Services) organization 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 role leverages / re-engineers existing solutions to delivery efficiently.

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

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

Key accountabilities and decision ownership:Support build & deployment of analytical solutions (models, hypothesis, analyses & scenarios) across the spectrum of analytical maturity – descriptive, inferential, predictive & prescriptiveLeverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomesDrive efficiencies in how analytical services are delivered, through automation and standardisation of analytical deliveryProvide a delightful and “easy to work” experience to the business stakeholders while setting clear expectations
Core competencies, knowledge and experience :PhD / Masters in Analytics, Operations Research, Statistics or similar / MBA from a premier B-schoolMinimum experience of 6 years in Analytics from a top B-school or T-School of IndiaExcellent communication & presentation skills with track record of engaging with business project leadsFlexibility and problem solvingPrevious experience in Telecom would be a distinct advantage
Must have technical / professional qualifications:Hands on experience in Analytical tools like Python with through knowledge of various machine learning, analytical & statistical techniquesExceptional data manipulation and analysis techniques; comfortable using very large (>10’s millions rows) datas

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