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

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.

Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm. 

MINIMUM 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.

Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, “See All", then “Experienced Professionals” (Job Number - 1695894).

What we offer

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $134,945.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted 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: You’ll develop the mindset and skills to navigate whatever comes next.
•    Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
•    Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
•    Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
 
EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
 
The exceptional EY experience. It’s yours to build.
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.

For those living in California, please click here for additional information.

 
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.  
 
EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com.

This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".