The primary purpose of this role is to deliver analytical / decision services to Vodafone\xe2\x80\x99s businesses across the globe. The role works with EBU or CBU or Finance team in OpCo and as 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 CVM & Data Analysis the incumbent provide structured and data-backed Business Insight to create bottom-line impact for the business. The role also demands an innovation led approach to delivery with 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:
Analyze large, complex data sets representing the behaviour of millions of users to address strategic and operational business questions.
Distil and communicate key insights across all levels of the organization.
Leverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomes.
Understand business requirements and advise the best way to fulfil these with the data and tools available. Investigate data necessary to achieve desired business outcomes.
Drive efficiencies in how analytical services are delivered, through automation and standardisation of analytical delivery
Provide a delightful and \xe2\x80\x9ceasy to work\xe2\x80\x9d experience to the business stakeholders while setting clear expectations
Core competencies, knowledge and experience :
Master\xe2\x80\x99s in Business Analytics or MBA from a premier B-school
Minimum experience of 5 years in Analytics or Business Insight/Descriptive Analytics
Presentation of key finding & recommendation to senior stakeholder
Flexibility and problem solving
Previous experience in Telecom would be a distinct advantage
Must have technical / professional qualifications:
Hands on experience in Analytical tools \xe2\x80\x93 Python, SQL, R with knowledge of basic 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\xe2\x80\x99s millions rows) datasets, containing both structured and unstructured data
Experience in Consulting organisation or CVM/U&R is desirable
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