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13/03 Harsh Saini
TA at EY GDS (EY Global Delivery Services)

Views:3627 Applications:426 Rec. Actions:Recruiter Actions:98

EY GDS - Senior Role - Data & Analytics Team (12-18 yrs)

Gurgaon/Gurugram Job Code: 808522

GDS India Data n Analytics Team

EY's Data n 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 Data n 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.

Responsibilities

Key Focus

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

- 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

Competencies/skills:

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.

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 favorably.

- 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 -15+ 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

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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