Organisation:

At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Senior Analyst, Data Management & Operations

Location: Bengaluru

Business & Team:

Our teams use data and analytics to identify customers’ needs and safely provide insights, contact journeys and innovative solutions to deliver world-class experiences. We’re a global data and analytics team with a customer-led mindset committed to building a brighter future for all.

Our vision is to build and deliver world-class experiences for our customers using the power of data, analytics and artificial intelligence (AI). To us, data is everything, it’s what powers our cutting-edge features and the reason we can provide seamless experiences for our customers from the branch on your street to the app on your phone.

Impact & contribution:

The Chief Data & Analytics Office (CDAO) is responsible for driving an uplift in the Consumer Data and Analytics capabilities. The area comprises of several functions and to support the goals of Group priorities.

As a Senior Analyst in Data Management Governance you will manage coordination of data related projects, liaising with key stakeholders within CDO/BU/SU. You will facilitate execution of data related project progress against milestones with these key stakeholders, and monitor and govern to ensure data management best practices are followed.

Roles & Responsibilities:

• Providing support to data related project teams on the definition of business requirements, impact assessment, project plan definition
• Facilitating the relationship between business and technical teams to support accurate and appropriate data management decisions
• Contributing to the conversation of specific data management business needs into functional designs
• Guiding users on what data is available from where, using knowledge and also tools such as Alation
• Guiding users on process of registration of data elements (including CDEs) and related metadata, lineages and controls; and also streamlining processes to enable efficient self-service DMIM.

Essential Skills :

• Must have - Experience in assessing and implementing data quality controls and / or managing data risk, especially in highly regulated environments 
• Must have - Experience of creating and maintaining consulting for ETL pipelines for big data platforms in large scale organisations using SQL
• Must have - Proven ability as data SME to embed data best practices, and uplifting analytics maturity in using data to drive safer, smarter and faster decisions
• Highly desirable - Experience with developing scalable GenAI capabilities to accelerate data development, discovery or usage for a large number of analytical users
• Highly desirable - Experience with development using Python, especially on cloud platforms such as AWS

Education Qualifications :

B.E. or B. Tech. or equivalent or post-graduation degree in Computer Applications.