Advanced Analytics Analyst

Location: Bangalore - Manyata Tech Park Road

Time Type: Full time

Job Description

Organization: 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: Advanced Analytics  Analyst
Location: Manyata Tech Park, Bangalore
 

Business & Team: 

CDAO has a vision building a brighter future for all. Using data, analytics and AI. We’re delivering on this by working together with our business colleagues jointly solve problems with customer centricity and technical innovation, cultivating a world-class team of empowered people and building technology solutions for the future.

We put the customer at the centre of everything we do and measure our performance against the groups’ external customer satisfaction measures.

Impact &contribution: 

A Customer Remediation Analyst at ASB plays a key role in helping the bank “make things right” for customers who may have been negatively impacted by system issues, product errors, fees, or other mistakes. The work directly supports ASB’s commitment to fairness, trust, and regulatory compliance.

This role sits within ASB’s Remediation Business Unit, which was established to correct customer harm and prevent future issues. The unit delivers multiple projects across Personal, Business, and corporate banking, working with structured processes and specialised squads

Roles & responsibilities:

• 4+ years of experience in similar role

• Perform advanced analysis to help answer questions.

• Conduct analysis to understand customer behaviours, customer profiles and customer impact, etc.

• Liaise with other analytics users and data experts to ensure insights are useful and add value to the business.

• Utilize additional/external sources of information to generate further insight.

• Use new tools and techniques to broaden my learning.

• Present insights to facilitate discussion about key metrics.

• Work Timings: 5.30am – 2.30pm (IST)

Essential skills:

• Ability to align Chapter goals with A&I (Analytics & Insights) objectives to deliver cohesive outcomes.

• Proficient in one or more analytical skillsets such as SQL or other data analysis tools.

• Strong analytical, investigative, and problem‑solving abilities.

• High level of accuracy and exceptional attention to detail.

• Familiarity with customer remediation processes and regulatory expectations (nice to have).

• Experience with Tableau or Power BI for data visualisation (nice to have).

• Prior exposure to banking products, including fees, interest, and disclosure requirements (nice to have).

• Experience working in production data environments and managing customer data securely.

• Able to work with complex datasets and deliver meaningful, relevant, and actionable insights.

• Capable of accurately interpreting results and applying standard analytical techniques.

• Demonstrated ability to produce high‑quality, timely insights and analytics.

• Comfortable problem‑solving in complex and dynamic environments.

• Strong written communication and presentation skills, with confidence presenting to groups.

• Ability to learn and adopt new tools and technologies as needed.

• Effective communication and stakeholder engagement skills.

• Outcome‑focused, with a willingness to challenge the status quo to drive better customer results.

• Ability to negotiate delivery timelines and clearly communicate trade‑offs and benefits to stakeholders.

• Capable of translating analytical findings into practical, actionable business insights.

• Skilled in using advanced analytics to improve remediation and speed up issue resolution and payments.

• Familiar with statistical and machine learning methods.

• Able to identify AI opportunities and apply analytics while meeting regulatory requirements.

Education Qualification:  Bachelor’s degree or Master’s degree in Engineering in Computer Science/Information Technology.