Business Data Analyst

Business Data Analyst

The Business Data Analyst should have hands-on role in assisting the team with data management BAU (Business-As-Usual) 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 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 day-to-day 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/Master's degree in finance or a related field
• Advanced degree in data analytics, business analysis, etc. is preferred

Skills and Knowledge:

• 7-9 years of experience as a business analyst, 3-4 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 warehouse-related 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
• Must be willing to learn, self-driven and responsible