A professional at this position level within Accenture has the following responsibilities:
Understand the external data ecosystem and multiple data vendors and their offerings
Assess the need of the clients on a wide range of issues across industries and work with clients to gather business requirements from multiple sources i.e. product managers, development teams, and functional group members.
Translate and architect an external data-data driven solution (in conjunction with internal data, if needed) 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.
Required Candidate profile
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.
Work Authorization: Preferable for US and/or UK
Must Have Skills:
2 to 3 years of experience in Sales and Solutioning is a must. Preferable if selling abilities have spanned across both technology and functional aspects.
5 to 7 years of analytics experience, preferred experience with external data
3 to 5 years of experience in managing client engagements
Ability to solution with project teams and lead large delivery teams, to identify potential business problems and translate business requirements into tactical analytical requirements
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, Pyspark and Hive/HQL is a must.
Good to Have Skills
Experience in analytical tools R, SAS is good to have
Experience in visualization tools Tableau, D3 is good to have.
Good to have knowledge on DMP
Experience in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing(NLP) and Cognitive Systems
Experience of working with big data tools i.e. Hadoop,
Spark, Oozie, Hive, Python