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Ernst & Young

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3.4

based on 10.5k Reviews

Video summary

2203 Ernst & Young Jobs

EY - GDS Consulting - AI & DATA - Data Modeller

Ernst Young

3.4

based on 10.5k Reviews

4-8 years

Kolkata

1 vacancy

EY - GDS Consulting - AI & DATA - Data Modeller

Ernst & Young

posted 7hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Quality Assurance Consulting SQL Operations Clinical Data Management

+ 4 more

Job Description

Lead and mentor a team throughout design, development and delivery phases and keep the team intact on high pressure situations.
Work as a Senior team member to contribute in various technical streams EY DnA implementation project.
Client focused with good presentation, communication and relationship building skills.
Completion of assigned tasks on time and regular status reporting to the lead
Collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques and validate the model results and articulate the insights to the business team
Interface and communicate with the onsite teams directly to understand the requirement and determine the optimum solutions
Create technical solutions as per business needs by translating their requirements and finding innovative solution options
Provide product and design level functional and technical expertise along with best practices
Get involved in business development activities like creating proof of concepts (POCs), point of views (POVs), assist in proposal writing and service offering development, and capable of developing creative power point content for presentations
Participate in organization-level initiatives and operational activities
Ensure continual knowledge management and contribute to internal L&D teams
Building a quality work culture and Foster teamwork and lead by example

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 4+ years of industry experience with machine learning, visualization, data science and related offerings.
At least around 4+ 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)