2823 - Sr. Business Data Analyst

Role - Sr. Business Data Analyst

Experience - 5-8 Years

Principal Accountabilities and Responsibilities

Responsible for

requirements gathering, documentation of solution design,

documenting and executing

test scenarios

and performing a variety of change and implementation management activities.

May work across multiple projects and programmes simultaneously

May be required to support change management activities spanning from early change planning and audience analysis; through to designing and delivering change interventions (e.g., communications, training, support, organisation alignment); and tracking.

Taking actions on change readiness, adoption, and feedback. They are also ultimately responsible for Implementation Management, including planning, controlling, and reporting on implementation of the change ‘product’, focusing on accelerating benefits and minimising risk during deployment. Implementation activities will also include managing implementation readiness and managing the early stages of implementation (e.g. pilot).

Business Analysts will often play a

people / team management role

within the projects / programmes they work on. As members of the Global Transformation management team, they will also have line or assignment management responsibility for a group of more junior resources within their resource pool (as related to their job family).

Internal clients to facilitate effective

data analysis / migration

and process change and ensure expectations are effectively manage.

A good understanding of the control requirement surrounding data handling will be advantageous in this role

Assess the operational risks as part of the analysis and implementation planning and execution in conjunction with delivery managers

Adhere strictly to compliance and operational risk controls in accordance with bank and regulatory standards, policies and practices; report concerns or observations in terms of control weaknesses, compliance breaches and operational risk impact.

Ensure all due diligence is performed to prevent adverse impact to customers and business operations

Support documentation of risks, issues and dependencies in the RAID log for allocated projects, and ensure that these are fed into the programme / PMO effectively.

Functional Knowledge

Strong Data and Business Analyst with Banking Knowledge

Endorse team engagement initiatives, fostering an environment which encourages learning and collaboration to build a sense of community.

Create environments where only the best will do and high standards are expected, regularly achieved and appropriately rewarded; encourages and supports continual improvements within the team based on ongoing feedback.

Develop a network of professional relationships across the department and our stakeholders to improve collaborative working and encourage openness - sharing ideas, information and collateral.

Encourage individuals to network and collaborate with colleagues beyond their own business areas and / or the Group to shape change and benefit the business and its customers.

Must demonstrate strong business knowledge and sound business sense, and stay abreast of the industry, business-wise and technology-wise

Stakeholder complexity – Business Analysts will often need

gather requirements and agree designs across stakeholders , dealing with different interests and

resolving disagreements and conflicts , and sometimes needing to challenge poor requirements and design decisions

Solid working experience in data & analytics field Demonstration of understanding in technology trends, methodologies, and tools for data & analytics

Experienced in technical product development and delivery using various technologies and can explain how they achieved this and the technologies used

Understand and able to apply project management principles and portfolio management

Communicate effectively with all levels of

stakeholders, team management and conflict management

skills

Experienced in presenting to senior stakeholder in both business and technology

Experienced on agile projects and understand the application of agile

Understanding of how DevOps works and how to utilize in the agile process.

Good in

SQL , and SQL programming knowledge as a Data Business Analyst.

Knowledge of ETL Process, GCP, Hadoop

Knowledge of

Jupyter Notebook

Python or Pyspark, SQL