EY Assurance Data Analytics_Senior_GGN in Gurgaon, India
Assurance Data AnalyticsSeniorGGN
Requisition # GUR005OT
Post Date May 09, 2018
EY Global Delivery Services (“GDS”) Assurance – Data Analytics - Senior
Who we are:
EY is a global leader in Assurance, Advisory, Tax, Transaction advisory services (TAS) and Knowledge services. Worldwide, our 200,000 people are united by our shared values and an unwavering commitment to quality. EY is committed to doing its part in building a better working world. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders.
About EY’s Global Delivery Services (“GDS”):
Global Delivery Services (GDS) consists of various service delivery centres from which our Client Service and Enablement Services teams operate to deliver strategic support to our EY member firms. Since 2001 EY has grown by over 100,000 people and seen tremendous change and globalization, and GDS has always grown, evolved and adapted along with EY itself.
GDS is one of EY’s greatest global assets with 22,000 smart, dedicated and incredibly responsive people in five countries around the world. It plays an important role in EY’s growth strategy by providing efficient and effective support to our service lines and enablement functions.
GDS spans all geographies, practices, services lines, sectors and competencies within EY to deliver deeply-integrated services that result in efficient and world-class solutions.
About GDS Assurance:
EY Global Delivery Services (GDS) Assurance practice supports global EY client-serving teams with their reviews across industry sectors, including financial services, manufacturing and technology, among others. Through the right multidisciplinary team of professionals with the sector knowledge and subject matter expertise, EY GDS Assurance enables EY client teams in over 30 countries to help world’s leading companies meet their assurance requirements.
The role of Senior – Data Analytics is significant in contributing individually and adding value to the complex reporting tasks that help various internal and/or external constituencies develop deeper understanding of their respective markets, functional practices and other internal clients. The incumbent will be responsible for the review of deliverables and ensuring that quality and productivity targets are met.
Analyze large volume of data and define clear strategy in analytical work related to assurance
Foster an open and inclusive environment to effectively lead and motivate teams with diverse skills and backgrounds
Demonstrate knowledge of different aspects of auditing and correlate raw data to audit-related analytics
Work closely with the global Assurance team and support in conceptualizing ideas, strategy and framework
Lead and develop a team of data analysts
Acquire data from primary or secondary data sources and maintain databases or data systems
Apply industry knowledge to interpret data and improve performance
Interpret data and analyse results using statistical techniques and provide ongoing reports
Filter and “clean” data by reviewing computer reports, printouts and performance indicators to locate and correct code problems
Locate and define new process improvement opportunities
Qualifications, competencies & skills:
B.Sc. / M.Sc. / B.E / B. Tech. / M. Tech. in Computer Science with a techno functional background or accounting graduates / post graduates having worked in business analytics domain.
Self-driven and highly motivated individual with 6 to 9 years of experience
Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy
Experience in managing multiple concurrent initiatives from multiple regions or clients
A strong track record of successful delivery and benefits realization
Ability to work within a matrix organization
Excellent communication, presentation and people skills
Should have high standard of integrity and confidentiality
Analytical skills, attention to detail and strong organizational abilities
Flexible to work in different time zones and travel as required
Proficient in using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)