Senior Manager - Business Consulting PI - AMI - Business Design - New Delhi (BB-07058)
Found in: Talent IN
Description:About EYAs a global leader in assurance, tax, transaction and advisory services, we're using the financeproducts, expertise and systems we've developed to build a better working world. That starts with aculture that believes in giving you the training, opportunities and creative freedom to make thingsbetter. 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 ambitionto be the best employer by 2020 a reality.Consultant/Associate Consultant - ITAS- Analytics (Data Science/Data Engineering)The opportunityEY is to seeking a candidate for Analytics (Data Science/Data Engineering) in ITAS.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.• Data Migration (Big Data activities) - Analyze data in existing data warehouse, understand targetdata model, develop scripts to move data from the existing data warehouse into the data lake• Data Analysis (Data Science activities) - Understand client requirements and develop models forvarious analytics use cases. Test the model developed to assess if they work in accordance to theapproved specifications. Assist with deployment of the developed models.• Data Reporting (Data Visualization activities) - Aggregate the data as required in the data lakeand develop reports/dashboards for the various analytics use cases• Support business development and new analytics solution development activitiesSkills and attributes for success• Experience in Data Engineering and Data Science at a financial services company or similarexperience is preferred.• Displays strong Project Management skills in managing his or her own projects to complete byassigned deadlines and within budget• Strong communication skills as the profile requires interactions with CIO, CEO, CFO and othersenior leadershipTools and techniques:• Hands-on experience in one or more Statistical tools - Python, SAS and R (preferable)• Data mining and manipulation experience• Preferable Mainframe experience to extract dataSoft Skills:• Excellent written and oral communication skills• Displays interpersonal, and leadership ability across all levels coupled with effective problemsolving, conceptual thinking, quantitative and analytical skills.To qualify for the role you must have• BE with MBA from Tier-1 B-school with 1 to 6 years' experience.• Experience working on Big Data platforms (Hadoop, Mongo Db etc.)• Must have data visualization experience (preferably Tableau, QlikView or Power BI)Ideally you'll also have• Strong communication, facilitation, relationship-building, presentation and negotiationskills.• Be highly flexible, adaptable, and creative.• Comfortable interacting with senior executives (within the firm and at the client)• Strong leadership skills and supervisory responsibility.What we look forPeople with the ability to work in a collaborative way to provide services across multiple clientdepartments while adhering to commercial and legal requirements. You will need a practical approachto solving issues and complex problems with the ability to deliver insightful and practicalsolutions.What working at EY offersEY is committed to being an inclusive employer and we are happy to consider flexible workingarrangements. We strive to achieve the right balance for our people, enabling us to deliverexcellent client service whilst allowing you to build your career without sacrificing your personalpriorities. While our client-facing professionals can be required to travel regularly, and at timesbe based at client sites, our flexible working arrangements can help you to achieve a lifestylebalance. This employer is a corporate member of myGwork, the business community for LGBTQ+ professionals, graduates, inclusive employers & anyone who believes in workplace equality.
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