Business Functional Analyst, AVP
Deutsche Bank · Pune · onsite · Posted today
About a minute. You'll make an account on the way through.
About this role
Job Title: Business Functional Analyst
Location: Pune, India
Corporate Title: AVP
Job Summary
A Business Functional Analyst will support finance data onboarding and regulatory reporting in Pune. The role combines stakeholder-led requirements analysis with end-to-end data delivery and extensively involves gathering requirements to source transactional, non-transactional, and instrument reference data from Deutsche Bank systems for group and regulatory reporting.
Your key responsibilities
- Lead discussions with business stakeholders, data publishers, and consumers to gather requirements for development and testing.
- Apply a strong understanding of capital market products and trade economics.
- Understand financial data standards and use them to define requirements.
- Work with stakeholders to map current data flows and recommend future-state flows.
- Review technical design documents related to data sourcing.
- Create business requirements documents covering all aspects of data sourcing.
- Manage end-to-end data delivery, from source-system analysis to the financial reporting data warehouse.
- Provide technical and functional input into ETL processes for onboarding data feeds.
- Conduct walkthroughs with stakeholders to validate business requirements and supporting documents.
- Work with Technology, Operations, Architecture, and other teams to obtain FDS sign-off.
- Track issues raised during BRD and FSD reviews and ensure timely closure.
- Create presentations and training materials for the designed process.
- Support testing and RTB teams with data-sourcing test planning and execution.
Your skills and experience
- 7-10 years of experience, mainly in Finance or Risk domain.
- Experience working in Scaled Agile and an understanding of Product Owner responsibilities.
- Good knowledge of data warehouse architecture.
- Strong business and functional analysis experience.
- Strong Oracle database experience and data analysis skills using SQL, Excel, Python, or BQ.
- Strong knowledge of data modelling, JSON and XML schemas, and system data flows.
- Strong analytical skills.
- Excellent knowledge of capital market products.
- Good understanding of ETL processes and tools.
- Excellent communication and stakeholder management skills.
- Good understanding of the project lifecycle.
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
About Deutsche Bank

Deutsche Bank
Banking
23k+
employees
1870
156 years old
Frankfurt
Germany
About
Industries
Employee ratings
4,472 reviews
Culture
3.8
Career growth
2.9
Work-life
4.0
Employees rate it well for
Find them on