Consult-TC-AI and Data-E2E-Data-Enterp Data-DE-Azure Data Analytics-BI Eng-Manager -Mult Pos-1695894

EY•Indianapolis, IN

2d•$134,945•Hybrid

About The Position

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. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. Consulting - Technology Consulting - AI & Data - End to End (E2E) Data - Enterprise Data - Data Engineering - Azure Data Analytics/Business Intelligence Engineer (Manager) (Multiple Positions) (1695894), Ernst & Young U.S. LLP, Indianapolis, IN. Help clients to enable better business outcomes while working in the rapidly growing cloud space. Deliver tech consulting services in data strategy, big data engineering, business intelligence, digital, machine learning and Artificial Intelligence. Extract large quantities of data from client's IT systems, develop efficient ETL and data management processes, and build architectures for rapid ingestion and dissemination of key data. Solve complex analytical problems in an effort to bring data to insights and enable the use of ML and AI at scale for clients. Perform analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and BI analyses and broad knowledge of the organization and/or industry. Stay up to date on current business and industry trends relevant to the client's business. Work with clients to understand their overall data estate, IT and business priorities and success measures to design implementation architectures and solutions. Execute on building data solutions for business intelligence and assist in effectively managing and monitoring the data ecosystem of analytics, data lakes, warehouses platforms and tools. Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.

Requirements

Must have a Bachelor’s degree in Business, Economics, Management Information Systems (MIS), Computer Science, Information Technology, Statistics, Engineering, Mathematics, Data Science, Machine Learning, or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, will accept a Master’s degree in Business, Economics, Management Information Systems (MIS), Computer Science, Information Technology, Statistics, Engineering, Mathematics, Data Science, Machine Learning, or a related field and 4 years of related work experience.
Must have 3 years of experience in data engineering and/or data architecture.
Must have 3 years of experience in one or a combination of any of the following cloud platforms: Azure, AWS, and/or Google.
Must have 2 years of experience with the toolset of Azure Synapse Analytics using Data Flows, building Spark notebooks and building queries.
Must have 3 years of experience navigating various types of database models to build data sets for analytics and model training and development.
Must have 2 years of experience modelling data in Power BI.
Must have 3 years of experience working with different data sources in Azure that connect to Microsoft Azure Platform.
Must have 3 years of experience with ELT (extract, loading, transform) and data ingestion/cleansing.
Must have 1 year of experience with analytics and big data technologies within Microsoft Azure with at least one of the following tools: Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics.
Must have 2 years of experience counselling and mentoring junior level consultants by providing structured, on-the-job feedback.
Requires domestic travel up to 70% to serve client needs.
Employer will accept any suitable combination of education, training, or experience.

Responsibilities

Deliver tech consulting services in data strategy, big data engineering, business intelligence, digital, machine learning and Artificial Intelligence.
Extract large quantities of data from client's IT systems, develop efficient ETL and data management processes, and build architectures for rapid ingestion and dissemination of key data.
Solve complex analytical problems in an effort to bring data to insights and enable the use of ML and AI at scale for clients.
Perform analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and BI analyses and broad knowledge of the organization and/or industry.
Stay up to date on current business and industry trends relevant to the client's business.
Work with clients to understand their overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
Execute on building data solutions for business intelligence and assist in effectively managing and monitoring the data ecosystem of analytics, data lakes, warehouses platforms and tools.
Manage and motivate teams with diverse skills and backgrounds.
Consistently deliver quality client services by monitoring progress.
Demonstrate in-depth technical capabilities and professional knowledge.
Maintain long-term client relationships and networks.
Cultivate business development opportunities.

Benefits

medical and dental coverage
pension and 401(k) plans
paid time off options
ﬂexible vacation policy
time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, ﬁnancial, and emotional well-being
Continuous learning
Success as defined by you
Transformative leadership
Diverse and inclusive culture

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