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| Job Location | Gurugram |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | Statistics / Analytics |
| EmploymentType | Full-time |
A professional at this position level within Accenture has the following responsibilities: Understand the external data ecosystem and multiple data vendors and their offerings Translate an external data-data driven solution (in conjunction with internal data, if needed) into analytics to achieve the desired outcome Be responsible for generating actionable recommendations well-supported by quantitative analysis to help our clients address their ongoing problems Present analytic findings & opportunities for improvement to senior management (internal and external) and summarize key findings, and aid in the dissemination of metrics throughout the organization Build knowledge base and disseminate information on applications of variety of analytical techniques Work with multiple stakeholders to gather business requirements Qualifications Masters/ Doctoral degree/Graduate degree in quantitative discipline like Statistics, Economics, Econometrics, Operations Research, Management or Engineering from a reputed university Preferred Institutes: ISI, DSE, Masters in Statistics/Operations Research from Premier Universities/Colleges), MBA from Premier Institutes with Analytics Experience, IIT B. Tech with Analytics Experience Must Have Skills: 3 to 5 years of analytics experience, preferred experience with external data Significant experience in managing analytics delivery Strong people management skills both at client site and an offshore environment Excellent communication skills and ability to interact with all levels of end users, stakeholders and technical resources Experience in resolving complex data issues in creative and effective ways. High self-motivation for success in a fast-paced, dynamic environment Experience in leading / assisting with BD efforts Adept in data architecture and interface design solutions Creative bent to represent the insights on a visualization tool Comfortable with techniques like Machine Learning techniques, Deep Learning, Linear regression, logistics regression, segmentation / clustering, optimization Hands on experience in Python, Hive/HQL, Pyspark is a must Good to have skills: Experience in analytical tools SAS, R, Spark are good to have Experience in visualization tools Tableau, D3 are good to have knowledge on DMP is good to have,
Keyskills :
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