Develop and maintain data models that accurately represent business processes and requirements. - Perform data mapping to ensure consistency and integrity across various data sources and systems. - Conduct data quality checks to identify and resolve data discrepancies and anomalies. - Collaborate with cross-functional teams to gather requirements and translate business needs into actionable insights. - Utilize basic SQL and Python skills to query, manipulate data, and automate routine tasks. - Create reports and visualizations to communicate findings and recommendations to stakeholders. - Conduct data analysis (by monitoring & reporting on data pipeline performance) to improve data pipeline efficiency/effectiveness. Requirements: - Bachelor’s degree in engineering, Computer Science, Information Systems, or related field. - Proven experience in data analysis, data modeling, and data quality management.



- Proficiency in SQL for querying databases and performing data manipulation tasks. - Basic knowledge of Python for data analysis and automation purposes. - Robust analytical and problem-solving skills with attention to detail. - Excellent communication and interpersonal skills with the ability to collaborate effectively across teams. - Experience with business intelligence tools (e.g., Tableau, Power BI) is a plus. - Experience in financial domain of hedge funds, fund admins, banking is a plus - Experience with data pipeline and workflow management tools (e.g., Apache Airflow) is a plus - Ability to adapt to a fast-paced environment and manage multiple priorities

📌 Capital Market Corporate Know Your Customer Team Member-bps (India)
🏢 Hexaware Technologies
📍 India