JPMorgan Data Management Senior Associate 

India, Karnataka, Bengaluru 

784102064

Job responsibilities:

• Partner with various Product teams to gather requirements, analyze data, deliver accurate reports and develop data-driven solutions that meet those needs.
• Apply domain modelling techniques to design and develop top-tier business products using industry best practices to ensure high data quality and minimize redundancy.
• Maintain data accuracy, integrity, and consistency across all data layers.
• Drive process improvements and automation initiatives to boost reporting efficiency and data quality.
• Collaborate with data engineers to streamline and enhance data reporting workflows through automation.
• Work with internal teams to resolve data issues and discrepancies in reporting.
• Communicate findings and insights to stakeholders using clear and effective visualizations and summaries.
• Assist product teams in extracting and analyzing data for functional testing and data investigations.
• Contribute to data governance and compliance efforts to ensure adherence to standards and regulations.

Required qualifications, capabilities and skills:

• Formal training or certification on data engineering concepts and applied experience
• Recent hands-on professional experience in a reporting, data analysis or business intelligence role
• Experience in database querying techniques and SQL
• Understanding of how to manage and optimize queries for large volumes of data within different kinds of data stores (including relational data stores)
• Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)
• Strong analytical and problem-solving skills
• Experience in explaining and converting complex concepts into digestible information to be consumed by both technical and business stakeholders
• Attention to detail and commitment to maintaining data quality
• Excellent written and verbal communication skills in English

Preferred qualifications, capabilities and skills:

• Experience in working in a highly regulated environment / industry
• Understanding of data warehousing concepts and ETL processes
• Experience in data analysis using Python programming language
• Understanding of data governance frameworks
• Understanding of AWS cloud technologies