Analytics and Business Intelligence Engineer at EY transforming data into insights for clients. Leading advanced analyses and solutions to complex business challenges with a focus on big data.
Responsibilities
Bring order and structure to structured and unstructured data
Prepare analysed data in visual formats that are accessible to clients and stakeholders
Solve multiple and complex business problems utilizing cloud-scale statistical techniques
Lead big-data problem solving to collect, analyze, and present findings and solutions
Serve as the go-to resource for understanding clients’ problems through data gathering and analysis
Solve complex analytical problems to bring data to insights and enable ML and AI for clients
Lead delivery of service in big data, business intelligence, and digital analytics
Drive efforts to design, architect, and develop solutions to ingest, process and analyze large data sets
Requirements
Bachelor’s degree in Computer Science, Data Science, Information Technology, Engineering, Mathematics, Statistics, Machine Learning, Management Information Systems (MIS), or a related field and 5 years of progressive, post-baccalaureate work experience
Alternatively, will accept a Master’s degree in the same fields and 4 years of work experience
4 years of experience in quantitative modeling and analysis focusing on big-data problem solving
4 years of hands-on experience in python and SQL
3 years of experience with any cloud platforms (Azure, Amazon, Google)
4 years of experience in navigating database models to build data sets for analytics and model training and development
2 years of experience modelling data in Power BI and other PowerApps
1 year of experience in the delivery of intelligent automation services including operating model/strategy, opportunity assessment, discovery and requirements definition, solution architecture and design, development, testing and production release
1 year of experience in quantitative analysis using Agile methodologies or robotics tool-specific methodologies
3 years of experience with data manipulation tools and libraries SQL, Pandas, or Spark
1 year of experience with containerization and scaling models as well as integrating models and feedback from downstream consumption systems
1 year of experience directly managing technical teams
Requires travel up to 80%, of which 10% may be international
Benefits
medical and dental coverage
pension and 401(k) plans
a wide range of paid time off options
flexible vacation policy
designated EY Paid Holidays
Winter/Summer breaks
Personal/Family Care
other leaves of absence when needed to support your physical, financial, and emotional well-being
Job title
Analytics and Business Intelligence Engineer – Manager
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