Private Bank Senior Business Analyst - Data Domain, AVP

Details of the Division and Team:    

At Deutsche Bank Private Bank, we are transforming our client onboarding, KYC, investment operations, workflow and data capabilities to deliver a more efficient, scalable and client-centric operating model.

The Business Analyst sits within the Transformation and Delivery organisation and plays a critical role in bridging business stakeholders, subject matter experts, data teams and technology delivery teams. The role will initially focus on initiatives within the Data Domain, supporting data-driven decision making, operational reporting, process automation and platform transformation. Over time, the individual will be expected to support broader business initiatives across client lifecycle management, regulatory change, AI-enabled solutions, operational efficiency and digital transformation programmes.

This role is suited to an individual who combines strong business analysis capabilities with a practical understanding of data structures, SQL querying and data-driven problem solving.

What we will offer you:         

A healthy, engaged and well-supported workforce is better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its center.

You can expect:

• Flexible benefits plan including virtual doctor consultation services
• Comprehensive leave benefits
• Gender Neutral Parental Leave
• Hybrid working arrangement
• 25 days of annual paid leave, plus public holiday
• A culture of continuous learning to aid progression

Your key responsibilities:

The Business Analyst is responsible for analysing business processes, identifying improvement opportunities, defining requirements and ensuring successful delivery of business and technology change initiatives.

The individual will work closely with business stakeholders, Product Owners, engineers, architects and data teams to translate business needs into clear, actionable requirements. They will support the full delivery lifecycle from problem definition through implementation, testing, deployment and post-go-live support.

While the initial focus is on Data Domain initiatives, the successful candidate will be expected to operate across multiple business domains as organisational priorities evolve.

Business Analysis & Requirements Management

• Elicit, analyse and document business, functional and non-functional requirements.
• Conduct requirements workshops with stakeholders across business, operations and technology.
• Produce high-quality requirements documentation, user stories, process maps, use cases and acceptance criteria.
• Translate business requirements into functional specifications suitable for delivery teams.
• Ensure full traceability from requirements through design, testing and implementation.
• Support backlog refinement, sprint planning and prioritisation activities.

Data Analysis & Data Domain Support

• Analyse datasets to identify trends, issues, risks and opportunities.
• Write and execute SQL queries to investigate business questions, validate requirements and support delivery activities.
• Support data mapping, source-to-target analysis and business data lineage activities.
• Collaborate with Data Engineers, Architects and Technology teams to define data requirements.
• Validate data quality, completeness and consistency across systems and reports.
• Support reporting, dashboard and analytical initiatives through structured data analysis.

Process Improvement & Change Delivery

• Analyse current-state and future-state operating models and workflows.
• Identify opportunities for automation, simplification and operational efficiency improvements.
• Perform business impact assessments and process reviews.
• Support implementation planning and change adoption activities.
• Contribute to solution evaluations and recommendations.

Testing & Business Readiness

• Define test scenarios, test cases and acceptance criteria.
• Support SIT, integration testing and UAT activities.
• Coordinate defect triage and business validation activities.
• Support business readiness, training materials and operational handover.
• Assist with post-go-live monitoring and issue resolution

Stakeholder Management

• Act as the bridge between business stakeholders and technology teams.
• Facilitate decision making through structured analysis and clear communication.
• Build strong working relationships across regional and global teams.
• Present findings, recommendations and status updates to stakeholders at varying levels of seniority.
• Drive consensus on requirements and solution approaches.

Your skills and experience:

• Minimum 5 years' experience as a Business Analyst, Functional Analyst, Business Functional Analyst or similar role within Financial Services.
• Experience within Private Banking, Wealth Management, KYC, Client Lifecycle Management or Regulatory Change.
• Experience working with Data Governance, Reporting, Analytics or Data Transformation programmes.
• Strong business requirements gathering and documentation experience.
• Demonstrable experience producing user stories, process maps, use cases and acceptance criteria.
• Experience working within Agile delivery environments.
• Strong SQL skills and the ability to analyse and validate data independently.
• Experience working with relational databases and data-oriented projects.
• Excellent analytical and problem-solving capabilities.
• Strong stakeholder management and workshop facilitation skills.
• Ability to communicate effectively with both technical and non-technical audiences.
• Experience supporting testing, UAT and business readiness activities.
• Familiarity with tools such as JIRA, Confluence, Visio, Power BI, Tableau or similar platforms.
• Exposure to AI-enabled, machine learning or workflow automation initiatives.
• Understanding of data quality management and data controls.
• Bachelor's degree or equivalent professional experience.
• 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. 

About us and our teams:

Deutsche Bank is the leading German bank with strong European roots and a global network. click here to see what we do.

Deutsche Bank & Diversity

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.