Senior Data Analyst

Senior Data AnalystKey Responsibilities:Work with business/data scientists to translate given business problem into analytical solution with defined outcomes. Should have strong 10+ years of Data Analyst experience. Analyze the data in depth, using SQLs and other exploratory tools against various platforms such as Bigdata, Oracle, SQL Server and others. Convert business requirements to functional requirements, with detailed transformation rules for ETL team. This is a very technical hands-on role. Work closely with the ETL and data science teams to review the requirements and data integrations. Understand the requirements from Business and Data Science. Understand the business and business impact on use cases. Write validation scripts to validate the data loaded by ETL team. Work with IT and business customers to develop and design requirements to formulate technical design. Skills to understand the right functional domain knowledge of the business to be able to gather right requirements for the design. Capture meta data, data lineage, reference data management and data quality rules as part of data governance. Work with team spread across the globe in driving the delivery of projects.Required Skills/Knowledge:Bachelor's degree in computer science, Engineering, or related discipline. 10+ years of solutions development experience, including 5+ years in data management/engineering organization. Proficient understanding of distributed computing principles. Extensive experience in data analysis and data modeling (table design). Proficiency in SQLs and data exploratory tools. Extensive experience writing functional requirements and high-level design documents. Experience in writing validation scripts to validate the data, data integrations and ETL transformations. Analytical skills to analyze situations and come to optimal and efficient solution based on requirements. Strong data analysis and profiling skills. Data warehouse concepts. Strong analytical skills related to working with unstructured datasets. SQL knowledge and data analysis skills for data anomaly detection and data quality assurance. Excellent communication skills, both written and verbal.Preferred:Experience working on DataLake using BigData Ecosystems. Strong background or working experience in Insurance Industry. Ability to interact with senior leadership teams in IT and business. Should have strong SQL knowledge. Should ave strong Analytics experience Should be good in Agile methodologies and SDLC process. Data Analyst Certification is mandatory.Company Benefits & Culture:Opportunity to work with a dynamic team in a fast-paced environment. Exposure to cutting-edge technologies and methodologies. Supportive and collaborative work culture.