Data Analyst

About TCS:

Join Tata Consultancy Services, Asia Pacific and be part of an organization committed to sustainable development for our future. TCS follows the Tata group philosophy of building sustainable businesses that are rooted in the community and demonstrate care for the environment. Our unique values position us to combine a purpose-driven worldview with digital innovation, collaborating with customers, communities and governments to lead and shape innovative solutions for a sustainable future. TCS has been carbon neutral in its operations across 11 countries, 12 delivery centres and 18 offices in Asia Pacific since 2022. This is only the initial stage in TCS' journey as we strive to achieve long-term net zero emissions by 2030.

Corporate sustainability is embedded in our triple-bottom-line, focusing on people, the planet, and our purpose. Our offices are designed with eco-friendly features that significantly reduce our carbon footprint and enhance energy efficiency. We actively champion green initiatives, such as promoting paperless operations, implementing energy-efficient practices, and fostering employee engagement in sustainability efforts. When you become part of the TCS family, you will play an essential role dedicated to innovation, excellence, and crafting a brighter, greener future together. Join us and be a part of our mission to drive sustainability through technology and talent at Tata Consultancy Services, APAC today.

Role: Data analysts with SQL, Python and R knowledge

Location: Sydney

Responsibilities:

• Working collaboratively in cross-functional Scrum teams with Product, Analytics and Remediation colleagues, you will be responsible for leveraging the Group's data assets to review risk issues and support end-to-end remediation of business customers
• Develop analytical solutions using SQL, Python and R to improve risk-based outcomes for stakeholders
• Undertake and automate data analytics across large datasets to identify customers requiring remediation and estimate financial impact to these customers
• You will deliver to deadlines by managing multiple priorities in a fast-paced, agile environment
• Develop data solutions to record remediation payment records
• Present analytical insights to stakeholders up to the General Manager level to give advice to our business partners with data
• Using advanced business acumen, you will translate complex business requirements and objectives into technical briefings, analytical processes and outcomes which may be subject to external regulator review
• Support peers with quality assurance (QA) reviews
• Lead customer projects and initiatives by liaising with analytical and non-analytical business partners across the department
• Designing & building continuous improvements that optimise the accuracy and effort for remediations and regulatory changes, ensuring compliance with relevant standards
• Foster a positive team culture that encourages innovation, accountability and continuous improvement

Key skills:

• Risk Mindset – All CommBank employees are expected to proactively identify and understand, openly discuss and act on current and future risks
• Data & Analytics – Advanced analytical, numerate and logical reasoning skills, with extensive relevant experience in using complex data and analytics to drive business results
• Stakeholder Management – Demonstrated ability to translate complex concepts into simplified stakeholder key messages and present to senior leaders
• Commercial acumen – Ability to plan and manage multiple time critical projects with an understanding of business value, effective prioritisation and decision making

Required experience:

• Minimum 2+ years in Data Analytics or similar experience (e.g. actuary, pricing, or credit risk)
• Must have proven experience working with SQL to extract data from complex datasets
• Extensive experience in using data driven analytics to develop dashboards, insights and recommendations
• Ability to understand complex problems and take a structured approach using data-driven insights to solve
• Experience with analytical tools and platforms such as R / Python and/or GitHub is preferred
• Knowledge and experience in Banking (customers, products, systems, processes) is preferred
• Experience with Agile tools and methodologies is preferred
• Degree in relevant discipline (Actuarial, Statistics, Maths, Economics, Engineering or Sciences).