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. •
Strong 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 workplace and manage multiple priorities

📌 Capital Market Workforce Team Member-BPS (India)
🏢 Hexaware
📍 India