Associate Consultant - Tech Consulting - NAT - CNS - TC - AI and Quantitative Modelling - Bangalore

Requisition Id : 1560685

_x000D_ The opportunity

EY is to seeking a candidate for Analytics (Data Science/Data Engineering) in ITAS.
_x000D_  
_x000D_ Your key responsibilities

    Data Ingestion (Big Data activities) – Analyze data from new sources, prepare extraction codes, map target files/ tables are required in the architecture and data platforms. 
_x000D_     Data Migration (Big Data activities) - Analyze data in existing data warehouse, understand target data model, develop scripts to move data from the existing data warehouse into the data lake 
_x000D_     Data Analysis (Data Science activities) – Understand client requirements and develop models for various analytics use cases. Test the model developed to assess if they work in accordance to the approved specifications. Assist with deployment of the developed models.
_x000D_     Data Reporting (Data Visualization activities) - Aggregate the data as required in the data lake and develop reports/dashboards for the various analytics use cases
_x000D_     Support business development and new analytics solution development activities

Skills and attributes for success

    Experience in Data Engineering and Data Science at a financial services company or similar experience is preferred.
_x000D_     Displays strong Project Management skills in managing his or her own projects to complete by assigned deadlines and within budget
_x000D_     Strong communication skills as the profile requires interactions with CIO, CEO, CFO and other senior leadership

Tools and techniques:
_x000D_  
_x000D_     Hands-on experience in one or more Statistical tools – Python, SAS and R (preferable)
_x000D_     Data mining and manipulation experience 
_x000D_     Preferable Mainframe experience to extract data

Soft Skills:

    Excellent written and oral communication skills
_x000D_     Displays interpersonal, and leadership ability across all levels coupled with effective problem solving, conceptual thinking, quantitative and analytical skills.

_x000D_ To qualify for the role you must have

•    BE with MBA from Tier-1 B-school with 1 to 6 years’ experience.
_x000D_ •    Experience working on Big Data platforms (Hadoop, Mongo Db etc.)
_x000D_ •    Must have data visualization experience (preferably Tableau, QlikView or Power BI)

_x000D_ Ideally you’ll also have

•    Strong communication, facilitation, relationship-building, presentation and negotiation skills.
_x000D_ •    Be highly flexible, adaptable, and creative.
_x000D_ •    Comfortable interacting with senior executives (within the firm and at the client)
_x000D_ •    Strong leadership skills and supervisory responsibility.

What we look for 

People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions.

What working at EY offers 

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

About EY

As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality.