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

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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

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