SaT_DnA_ Data science, Python, ML_Senior Analyst

Job description

Job description

EY Global Delivery Services Transaction Advisory Services (TAS)

Senior Analyst – Capital Analytics

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.

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

EYs 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.

Job description:

Primary Responsibilities and Accountabilities:
·  Assist in delivering well organized reports, advanced dashboards making use of new age tools and technologies like Tableau, Qlikview, Spotfire, Power Pivot
·  Design and build of MS SQL Server/ MS Access / MS Excel / VBA based tools & applications
·  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
·  Deploy machine learning methodologies and algorithms to build data products that streamline the process from data collection to insight generation
Competencies / skills:

Must Have:
·  Highly numerate and analytical individuals preferably with an excellent academic record and a degree in mathematics, economics, engineering or statistics
·  Strong experience in SQL server and MS Excel plus atleast one other SQL dialect  e.g. MS AccessPostgresqlOracle PLSQLMySQLStrong in Data Structures & Algorithm
·  Visually creative, with a good understanding of UX aesthetics; hands on knowledge and development experience on TableauQlikviewSpotfirePower BI
·  Proven experience in estimating, planning and managing technology driven projects.
·  Strong Analytical skills has ability to ask right questions, analyze data, draw conclusion by making appropriate assumptions
·  Attention to detail and the ability to work under pressure
·  Excellent written and spoken English skills. Ability to translate business requirement into technical specification
·  Organized and structured in the completion of tasks
·  Experience of working in advisory/consulting/industry environment
·  Flexible to travel to location within India and abroad to deliver project work
Good to Haves:
·  Data wrangling with Alteryx, RapidMiner , Power Query
·  Hands-on experience with R, SAS, Python
·  Strong statistical background with hands on experience in: Logistic and Linear Regression, Clustering and Segmentation, Time Series forecasting, Exploratory Data Analysis
·  Experience in supply chain, working capital, financial reporting, or asset management modeling
·  Experience in more than 1 industry sector
Education & Experience:
·  Graduate/ PG with relevant work experience of 3-6 years

Competencies / skills:

Must Have:
·  Highly numerate and analytical individuals preferably with an excellent academic record and a degree in mathematics, economics, engineering or statistics
·  Strong experience in SQL server and MS Excel plus atleast one other SQL dialect  e.g. MS AccessPostgresqlOracle PLSQLMySQLStrong in Data Structures & Algorithm
·  Visually creative, with a good understanding of UX aesthetics; hands on knowledge and development experience on TableauQlikviewSpotfirePower BI
·  Proven experience in estimating, planning and managing technology driven projects.
·  Strong Analytical skills has ability to ask right questions, analyze data, draw conclusion by making appropriate assumptions
·  Attention to detail and the ability to work under pressure
·  Excellent written and spoken English skills. Ability to translate business requirement into technical specification
·  Organized and structured in the completion of tasks
·  Experience of working in advisory/consulting/industry environment
·  Flexible to travel to location within India and abroad to deliver project work
Good to Haves:
·  Data wrangling with Alteryx, RapidMiner , Power Query
·  Hands-on experience with R, SAS, Python
·  Strong statistical background with hands on experience in: Logistic and Linear Regression, Clustering and Segmentation, Time Series forecasting, Exploratory Data Analysis
·  Experience in supply chain, working capital, financial reporting, or asset management modeling
·  Experience in more than 1 industry sector
Education & Experience:
·  Graduate/ PG with relevant work experience of 3-6 years

About EY                       
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. 

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. 

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.