EY is a global professional services organization providing advisory, assurance, tax and transaction services.
EY is among the world's most attractive employers. It offers opportunities and experiences that bring out the best in its people at work every day. Collaborating with diverse teams across the globe helps our people develop a global mind-set. EY develops outstanding leaders who deliver value to all our stakeholders to meet their strategic corporate objectives.
The Global Talent Hub (GTH) and Global Shared Services (GSS) teams operate out of the Global Delivery Services (GDS). GDS is EY's global client service delivery vehicle and is founded on an extended teaming model. With operations across the globe, GDS offers seamless services to 80 countries through its 'high performing teams'.
GDS India has won several Global HR awards for its people practices: ranked first in the 'Dream Companies to Work”. For the sixth consecutive year, we've been ranked as the 'Best Place to Work for' in the “Great Place to Work” survey.
GDS TAS has been one of the fastest growing services, delivering transaction support, transaction tax and capital transformation services to clients around the world.
GDS TAS professionals work as an extended team to global TAS practices. They deliver insights, analytics and advice to our clients on strategies to raise, invest, preserve and optimize their capital. GDS TAS offers you:
First-hand knowledge on how the economic climate is changing
Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
An opportunity to be a part of market-leading, multi-disciplinary team of about 600 professionals, in the only integrated global transaction business worldwide
Opportunities to work with EY TAS practices globally with leading businesses across a range of industries
We are committed to providing learning opportunities to our employees through robust training and global secondment opportunities.
GDS India Capital Analytics Team
EY’s Capital Analytics Group (presently the key engagement for the team) is the centre of excellence for modelling services in the firm with an international reputation. The assignments cover a wide range of countries and industry sectors.
The Capital Analytics team serves as the thought leadership and tool engine with a team of digital professionals to support new analytics tool development, process re-engineering and automation, financial analytics and user focused visualization.
The main objective is to achieve business growth by thought leadership in analytics by developing new products and solutions for M&A Analytics and maintaining strong working relationships with key business decision-makers, informing them of our scope of services and communicating how these services benefit their organizations.
Primary responsibilities and accountabilities:
Translate high level business requirements/problems into sound and comprehensive analytical framework through appropriate usage of advanced statistical / mathematical techniques and responsible for successful delivery of the solutions
Lead in delivering well organized reports, advanced dashboards making use of new age tools and technologies
Benchmarking and measuring the performance of various business sectors & projects, building and publishing detailed KPI scorecards and reports, identifying and driving new opportunities based on customer and business data
Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team
Implement statistical and data mining techniques e.g. hypothesis testing, machine learning, and retrieval processes on a large amount of data to identify trends, figures and other relevant information
Deploy machine learning methodologies and algorithms to build data products that streamline the process from data collection to insight generation
Work with the executive leadership to develop and implement brand in the space of Analytics, extensive Partner level interaction and User business uptake & Development
Work with process owners to analyse the processes and identify improvement opportunities and drive continuous improvement initiatives across processes and systems
Build high performing teams by mentoring & coaching on various technical & behavioural aspects. Empower them to deliver better
EY GDS is an equal opportunity employer.
Our diversified offerings will provide right opportunities to you to develop your career through a broad scope of engagements, mentoring, and learning and development. We develop outstanding leaders who keep our promises, deliver exceptional services to all of our stakeholders, and play a critical role in building a better working world for our people, clients and communities.
Candidate must be highly numerate and be able to analyse a problem from various aspects
Strong statistical background with hands on experience in: Logistic and Linear Regression, Clustering and Segmentation, Time Series forecasting, Exploratory Data Analysis
Rich experience in advanced analytics - predictive analytics, forecasting techniques, customer behaviour, web analytics, social media, text mining, NLP
Strong Analytical skills has ability to ask right questions, analyze data, draws conclusion by making appropriate assumptions
Knowledge of digital analysis tools like Site Catalyst, Web trends, Google analytics, Omniture etc along with exposure to Hadoop, SAS, Matlab, R, SQL, and VBA
Experience with dashboard development, standard reporting, automation, performance management using reporting tools such as Tableau, Qlikview, or MS Excel VBA
Experience of working on system integration/implementation/automation related projects would be an added advantage
Good to Haves:
Any prior experience working with off the shelf BI reporting tools or ETL applications such as Informatica will be looked at very favourably
Microsoft certifications such as MCAS/MOS
Experience in testing methodologies and using testing tools
Education and experience:
B.E & M.B.A / CA/ CFA with 10- 14 years of experience in any of the following analytics solutions including predictive analytics for financial services firms and other horizontal functions: marketing, sales, supply chain, operations