$80K — $100K *
Our Data and Analytics team helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of that, you’ll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems (some that have not been solved before). No two days will be the same, and, with constant research and development, you’ll find yourself building knowledge that can be applied across a wide range of projects now and in the future. This is a high-growth area with plenty of opportunities to enhance your skill set and build your career.
Your key responsibilities
There is no such thing as a typical day. You will run multiple client engagement teams, work with a wide variety of clients to help them navigate the complex world of advanced analytics. We’ll look to you to provide our clients with a unique business perspective on how advanced analytics can transform and improve their entire organization — starting with the key business issues they face.
Skills and attributes for success
Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.
Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.
Managing expectations of client service delivery.
Staying abreast of current business and industry trends relevant to the client's business.
Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.
Developing and maintaining long-term client relationships and networks.
Partnering with information architecture to build logical/canonical and physical data models aligned with conceptual data models
Working with product teams to define data sources by partnering with information and enterprise architecture.
Working with product teams to define Key Performance Indicators and supporting data attributes and business rules
Working with product teams to ensure data meets business requirements
Analyzing existing data stores and interfaces to support current state and future data models
Working with squads to create physical data designs and business rule implementation
Partnering with enterprise data management and strategy on business glossary implementation and governance and stewardship
Working with report developers to align dataset design with report design
Partnering with information architecture to provide feedback on conceptual models and review logical and physical data models
Facilitating data requirements elicitation and modeling sessions including use of interview, document analysis, workshops etc.
Assisting with the development and enforcement of data modeling standards
Participating in data definition and data management reviews
Establishing and maintain processes to support and grow data modeling practices
To qualify for the role you must have
A bachelor's degree in Computer Science, Operations Research, Math, Statistics, Economics or Industrial Engineering and approximately three years of related work experience; or a graduate degree in the same and approximately two years of related work experience.
A minimum of three years’ experience providing consulting services with a strategic focus in helping clients achieve transformational value by improving performance through the use of data and analytics solutions.
A deep understanding of business processes and a minimum of three years’ experience using data and analytics to solve real-world business problems.
A minimum of three years' experience in Data Modelling, Data Architecture, and design
Advanced SQL skills and deep knowledge of relational and NoSQL databases. Basic understanding of RDF ontologies, graph databases and SPARQL Experience using data modelling tools, understanding of relational and dimensional data modelling concepts and data governance.
Knowledge of data architecture, database structure, and modelling tools (ex.: LucidChart, Gliffy, CA Erwin, Oracle SQL Developer etc.) Experience using the Unified Modelling Language (UML) to model and describe systems.
Knowledge of Entity Relationship Diagrams (ERDs) and Extract-Transform-Load (ETL) processes
Programming experience with Python, Java and REST APIs. Experience with developer tools such as GIT, Jenkins, Maven, Swagger and Postman.
A willingness to travel to meet client needs. A valid driver’s license in the US
Ideally, you’ll also have
Master’s degree or MBA preferred
Experience with big data platforms and cloud (Snowflake, AWS, Azure, etc)
Experience with data and systems architecture (APIs, messaging, etc.)
Experience with master data management and data governance
Experience with data visualization tools such as Power BI and Tableau.
Valid through: 10/29/2021
$100K — $150K *
$100K — $150K *
12 days ago
$80K — $100K *
12 days ago