EY GDS Consulting AI And DATA Data Modeller Senior

EY-Consulting - Data and Analytics Senior - Data Modeller

EYs Consulting Services is a unique industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EYs financial services practice provides integrated Consulting services to financial institutions and other capital markets participants including commercial banks retail banks investment banks broker-dealers & asset management firms and insurance firms from leading Fortune 500 Companies. Within EYs Consulting Practice Data and Analytics team solves big complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of clients decision-making.

The opportunity

Were looking for a candidate with 5 to 9 years of expertise in data and analytics side having understanding of insurance domain knowledge (PnC or life or both).Act as Technical Lead to a larger team in EY GDS DNA team to work on various Data and Analytics projects

Your key responsibilities

• Be responsible for the development of the conceptual logical and physical data models the implementation of RDBMS operational data store (ODS)
• data marts and data lakes on target platforms (SQL/NoSQL).
• Work as a Senior team member to contribute in various technical streams EY DNA implementation project.
• To oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.
• Should be able to work independently and collaboratively.
• Implement business and IT data requirements through new data strategies and designs across all data platforms (relational dimensional and NoSQL).
• Work with business and application/solution teams to implement data strategies build data flows and develop conceptual/logical/physical data models
• Define and govern data modelling and design standards tools best practices and related development for enterprise data models.
• Identify the architecture infrastructure and interfaces to data sources tools supporting automated data loads security concerns analytic models and data visualization.
• Hands-on modelling design configuration installation performance tuning and sandbox POC.
• Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.

Skills and attributes for success

• Use an issue-based approach to deliver growth market and portfolio strategy engagements for corporates
• Strong communication presentation and team building skills and experience in producing high quality reports papers and presentations.
• Experience in executing and managing research and analysis of companies and markets preferably from a commercial due diligence standpoint

To qualify for the role you must have

• BE/BTech/MCA/MBA with 5-9 years of industry experience with machine learning visualization data science and related offerings.
• At least around 6 years of experience in BI and Analytics.
• To be have ability to do end to end data solutions from analysis mapping profiling ETL architecture and data modelling.
• Knowledge and experience of at least 1 Insurance domain engagement life or Property n Causality.
• Understanding of Business Intelligence Data Warehousing and Data Modelling.
• Good experience using CA Erwin or other similar modelling tool is absolute must.
• Experience of working in Guidewire Datahub & InfoCenter skills.
• Strong knowledge of relational and dimensional data modelling concepts
• Develop logical and physical data flow models for ETL applications.
• Translate data access transformation and movement requirements into functional requirements and mapping designs.
• Strong knowledge of data architecture database structure data analysis and SQL skills
• Experience in data management analysis. Analyse business objectives and evaluate data solutions to meet customer needs.
• Establishing scalable efficient automated processes for large scale data analyses and management
• Prepare and analyse historical data and identify patterns
• To collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques.
• To validate the model results and articulate the insights to the business team.
• Drive the Business requirements gathering for analytics projects
• Intellectual curiosity - eagerness to learn new things
• Experience with unstructured data is added advantage
• Ability to effectively visualize and communicate analysis results
• Experience with big data and cloud preferred
• Experience interest and adaptability to working in an Agile delivery environment.
• Ability to work in a fast-paced environment where change is a constant and ability to handle ambiguous requirements
• Exceptional interpersonal and communication skills (written and verbal)

Ideally youll also have

• Good exposure to any ETL tools.
• Good to have knowledge about P&C insurance.
• Understanding of Business Intelligence Data Warehousing and Data Modelling.
• Must have led a team size of at least 4 members.
• Experience in Insurance and Banking domain
• Prior Client facing skills Self-motivated and collaborative

What we look for

• A Team of people with commercial acumen technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-leading multi-disciplinary team of 1400 professionals in the only integrated global transaction business worldwide.
• Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries

What working at EY offers

At EY were dedicated to helping our clients from startups to Fortune 500 companies and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus we offer:

• Support coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way thats right for you