EY - GDS Consulting - AI and DATA - SQL -Data Analyst - Senior

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, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) –Senior- Insurance Data analyst We are seeking a highly skilled and motivated Data Analyst with experience in ETL services to join our dynamic team. As a Data analyst, you will be responsible for data requirement gathering, preparing data requirement artefacts, preparing data integration strategies, data quality, you will work closely with data engineering teams to ensure seamless data flow across our systems. Key Responsibilities: Expertise in the P&C Insurance domain. Interact with stakeholders, source teams to gather data requirements. Specialized skill in Policy and/or Claims and/or Billing insurance source systems. Thorough understanding of the life cycle of Policy and Claims. Should have good understanding of various transactions involved. Prepare data dictionaries, source to target mapping and understand underlying transformation logic Experience in any of the insurance products including Guidewire and/or Duckcreek Better understanding of Insurance data models including Policy Centre, Claim Centre and Billing Centre Create various data scenarios using the Insurance suite for data team to consume for testing Experience and/or understanding of any Insurance Statutory or Regulatory reports is an add-on Discover, design, and develop analytical methods to support novel approaches of data and information processing Perform data profiling manually or using profiling tools Identify critical data elements and PII handling process/mandates Understand handling process of historic and incremental data loads and generate clear requirements for data integration and processing for the engineering team Perform analysis to assess the quality of the data, determine the meaning of the data, and provide data facts and insights Interface and communicate with the onsite teams directly to understand the requirement and determine the optimum data intake process Responsible for creating the HLD/LLD to enable data engineering team to work on the build Provide product and design level functional and technical expertise along with best practices Required Skills and Qualifications: BE/BTech/MTech/MCA with 4 - 9 years of industry experience with data analysis, management and related data service offerings Experience in Insurance domains Strong analytical skills Strong SQL experience Good To have: Experience using Agile methodologies Experience using cloud technologies such as AWS or Azure Other Key capabilities: Client facing skills and proven ability in effective planning, executing and problem-solving Excellent communication, inter-personal, and teamworking skills Multi-tasking attitude, flexible with ability to change priorities quickly Methodical approach, logical thinking, and ability to plan work and meet deadlines Accuracy and attention to details Written and verbal communication skills Ability to plan resource requirements from high level specifications

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.