Data Analyst

1 month ago


bangalore, India ANZ Full time

About the role

To deeply understand the power of data to generate quality customer insights, manage information, identify trends and make decisions.

This critical role represents the engine of our team and enables quality outcomes. Without it we will not be successful.

What will your day look like

Implement a fact-based culture throughout the bank.

Demonstrates in-depth customer insights and acts as an advocate, enhancing the customer experience by challenging and encouraging others to put the customer first.

Maintains commitment to change; engages with others to gain buy-in and act as an advocate for continuous improvement. Proactively identifies, support and drive opportunities for change

Continuous generation, monitoring, presenting and conducting of 'fact-based' analysis of relevant customer insights to use at any time for the development and improvement of relevant and innovative propositions.

Continuous measurement and analysis of various data risk & customer journeys.

Perform data analysis within the team in order to support team goals.

Generate, monitor, present and analyse relevant insights and risks for stakeholders of Data Risk.

Sourcing data from a variety of sources to combine, synthesise and analyse to generate insights.

Support key data platforms and/or data scheduling jobs to support insights delivery to key audiences

Lead, Optimise, Design and execute enterprise data & advisory services and capabilities increase adotion of the Data Management, the Data Risk Theme & relevant frameworks to ultimately uplift critical data in ANZ.

This role will also provide support to wider Data Risk team initiatives as required.

What will you bring?

8 years overall, with a minimum of 5 years minimum as a Data Analyst.

Strong skillset in writing complex SQLs .

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Expertise in data model designs - From data conceptual to physical implementation of semantic models.

Adept at writing SQL queries, procedures across different database platforms.

Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources

Be a change driver for Modern data management whereby Data quality, data integrity and data lineage are measured consistently.

Work with the team in developing a framework whereby the Data Quality and Metadata standards are implemented and maintained

Good grasp of the Cloud providers in the field of Data Governance, and techniques implemented for capturing and implementing rules for Data Quality.

Hands-on knowledge and experience with tools and techniques for analysis (eg data warehouses, databases (e.g., SAS, SQL, Cognos, etc.), and data processing tools, analysis, presentation and application

Strong ability to translate data insights into practical business recommendations

Depending on the team allocation and assignment, a mix of:

Dashboarding experience (Qlik, Tableau)

Data Platform Engineering and/or Data Operations management


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