CNS Non FS TR - Staff - Data Analytics

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

The opportunity

You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization – starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career. 

Your key responsibilities

You'll spend most of your time working with a wide variety of clients to deliver the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. 

Skills and attributes for success

• Applying data mining and statistical analysis techniques like hypothesis testing, segmentation, and modelling to analyze large amounts of data
• Helping our clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices
• Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate
• Designing, architecting, and developing solutions leveraging big data technology (Open Source, Hortonworks, AWS or Microsoft) to ingest, process and analyze large, disparate data sets to exceed business requirements
• Unifying, enriching, and analyzing customer data to derive new insights and opportunities
• Leveraging in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements
• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions
• Demonstrating deep understanding of and ability to teach data science, concepts, tools, features, functions, and benefits of different approaches to apply them
• Seeking out information to learn about emerging methodologies and technologies
• Clarifying problems by driving to understand the true issue
• Looking for opportunities for improving methods and outcomes
• Applying data driven approach in tying technology solutions to specific business outcomes
• Collaborating, influencing, and building consensus through constructive relationships and effective listening
• Solving problems by incorporating data into decision making

To qualify for the role you must have

• Bachelor's degree
• At least 3-5+ years hands-on experience with data science, big data, and data engineering
• Extensive experience connecting to various data sources and structures: APIs, NoSQL, RDBMS, Hadoop, S3, Blob Storage, etc.
• Deep understanding of statistical modeling as well as ETL, data ingestion/cleansing and engineering skills
• Ability to set up data and experimental platforms
• Must have 1 of the following: Python/PySpark
• Must have 1 of the following: Azure Data Factory/JavaScript
• Must have 1 of the following: PowerShell/C#
• Must have 1 of the following: SQL/SnowFlake
• Must have 1 of the following: BluePrism/UI Path
• Experience using data mining and statistical tools
• Hands-on experience with various big data technologies in one or more ecosystems (Hadoop, AWS or Microsoft)
• Candidate MUST be able to work in-person as needed

Ideally, you'll also have

• Bachelor's Degree or above in mathematics, information systems, statistics, computer science, or related disciplines
• Experience with AzureML a plus
• Communication is essential, must be able to listen and understand the question and develop and deliver clear insights
• Experience communicating issues, status and thought leadership to partners and clients

Developing people through effective leadership, coaching, mentoring and performance assessment of all levels of staff

EY | Building a better working world 

 
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.