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. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. 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, data integration strategies, data quality, data cleansing, optimizing data pipelines, and solutions that support business intelligence, analytics, and large-scale data processing. You will collaborate closely with data engineering teams to ensure seamless data flow across our systems. The role requires hands-on experience in the Financial Services domain with solid Data Management, Python, SQL & Advanced SQL development skills. You should have the ability to interact with data stakeholders and source teams to gather data requirements, understand, analyze, and interpret large datasets, prepare data dictionaries, source to target mapping, reporting requirements, and develop advanced programs for data extraction and analysis. Key Responsibilities: - Interact with data stakeholders and source teams to gather data requirements - Understand, analyze, and interpret large datasets - Prepare data dictionaries, source to target mapping, and reporting requirements - Develop advanced programs for data extraction and preparation - Discover, design, and develop analytical methods to support data processing - Perform data profiling manually or using profiling tools - Identify critical data elements and PII handling process/mandates - Collaborate with technology team to develop analytical models and validate results - Interface and communicate with onsite teams directly to understand requirements - Provide technical solutions as per business needs and best practices Required Skills and Qualifications: - BE/BTech/MTech/MCA with 3-7 years of industry experience in data analysis and management - Experience in finance data domains - Strong Python programming and data analysis skills - Strong advance SQL/PL SQL programming experience - In-depth experience in data management, data integration, ETL, data modeling, data mapping, data profiling, data quality, reporting, and testing Good To have: - Experience using Agile methodologies - Experience using cloud technologies such as AWS or Azure - Experience in Kafka, Apache Spark using SparkSQL and Spark Streaming or Apache Storm Other Key capabilities: - Client facing skills and proven ability in effective planning, executing, and problem-solving - Excellent communication, interpersonal, 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 - Willingness to travel to meet client needs - Ability to plan resource requirements from high-level specifications - Ability to quickly understand and learn new technology/features and inspire change within the team and client organization 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 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.,