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| Job Location | Hyderabad |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Telecom / ISP |
| Functional Area | Operations Management / Process Analysis |
| EmploymentType | Full-time |
Role purpose: The primary purpose of this role is to deliver analytical / decision services to Vodafone s businesses across the globe. The role works with OpCo and is a part of the VOIS (Vodafone Shared Services) organisation in India. The incumbent works on the assigned projects & its 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 & 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 are delivered, through automation and standardisation of analytical delivery Provide a delightful and easy to work experience to the business stakeholders while setting clear expectationsCore competencies, knowledge and experience : PhD / Masters in Analytics, Operations Research, Statistics or similar / MBA from a premier B-school Minimum experience of 6 years in Analytics from a top B-school or T-School of India Excellent communication & presentation skills with track record of engaging with business project leads Flexibility Problem Solving with ability to explain the solutions in simplistic terms Ability to break complex problems into solvable mathematical problems to be solved in Data-driven solutions way Exploratory Data Analysis for large datasets Working knowledge in Hypothesis Testing, Analysis of Variance, Linear Programming, Non-linear Programming, Simulation, Time Series, Optimization, Transportation problem, Graph Theory, Inventory Control, Poisson Process models, Decision Tree, Stochastic process models Previous experience in Telecom would be a distinct advantage Theoretical Knowledge of Queuing theory, Genetic Algorithm, Game theoryMust have technical / professional qualifications: Hands on experience in Analytical tools like Python with through knowledge of various machine learning, analytical & statistical techniques Exceptional data manipulation and analysis techniques; comfortable using very large (>10 s millions rows) datasets, containing both structured and unstructured data Adequate exposure to Data visualisation tools like Tableau, Qlikview, SAS Visual Analytics, etc. Experience in use of Cloud GCP/AWS or Big Data technologies (e.g. Hadoop, Hive, Pig, etc.) is desirableKey performance indicators [max 3]: Analytics solutions models (Proof of concepts, Proofs of value, Automated models) Creation of reusable, defined analytical products (including documentation and, where appropriate, training) Visualisation of results / Presentation of output,
Keyskills :
inventory controlmachine learningsas visual analyticsgraph theorybig dataexploratory data analysisdata modelsvisual analyticsdata analysisproblem solvingtime seriesstatements of work sow