Summary: The Business analyst has a handson role in assisting the team with data
management BAU (BusinessAsUsual) work including but not limited to gathering
business requirements for report automation and data management tool enhancement
monitoring LoB s data quality supporting regulatory risk and audit requests etc. The
ideal candidate possesses a fundamental understanding of the Financial Services
Industry (FSI) and experience in the data and analytics domain. He/she should be a
team player and should be able to able to engage stakeholders (business IT) with
minimal/no supervision.
Responsibilities:
Develop business and functional requirements for report
automation/migration data management tool enhancement and system
implementation
Assist the team leads in eliciting business requirements from the business
stakeholders manage the planning and execution of requirements gathering
workshop
Design and develop BI reports dashboards and visualization using BI tools
and SQL queries
Assist the team leads in the risk data controls assessment and monitor risk
controls not adhering to defined control standards
Support the team leads to identify monitor and analyze operational risk
arising from data management standards and procedures
Assist in addressing issues identified in data management daytoday
operations by collaborating with concerned stakeholders for effective issue
resolution
Manage all project management activities including but not limited to status
updates project plan updates/maintenance socialization of deliverables with
the stakeholders etc.
Proactively identify and mitigate risks before they become roadblocks
Education and Experience Requirements:
Bachelor/Masters degree in finance or a related field
Advanced degree in data analytics business analysis etc. is preferred
Skills and Knowledge:
79 years of experience as a business analyst 34 within data management
space preferred but not required experience in the banking sector is a plus
Experience with data analysis and visualization tools (e.g. SQL BI Excel )
Should understand the architecture and concept of a data lake and data
warehouserelated knowledge and design
Must have strong written and verbal communication skills
Must be proactive and analytical to evaluate and solve problems independently
Must be able to work under pressure with the team and deliver results
promptly