About Us

At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

About the Role

As a BI Analyst in Enterprise Business Intelligence, you will analyse large, cross‑functional datasets to generate insights that improve business performance and decision‑making. You will identify trends, detect anomalies, assess customer and financial impacts, and support data‑driven recommendations across products and enterprise processes.

Your role covers the full BI lifecycle—gathering requirements, defining KPIs, performing analysis, building dashboards and reports, and documenting analytical methods. You will ensure data accuracy, support governance standards, and contribute to a scalable enterprise reporting environment. Working in an Agile setup, you will partner with business stakeholders, data engineers, product teams, and SMEs to design analytical approaches and deliver impactful BI solutions that enhance operational efficiency and customer outcomes.

Role Type: Permanent, 5.2
Role Location: Manyata Tech Park, Bengaluru
Work Hours: 7 AM to 4 PM

What will your day look like?

As a BI Analyst , your key accountabilities will include: 

• Support the end‑to‑end BI lifecycle by gathering requirements and designing, developing, and delivering enterprise‑wide analytical and reporting solutions that enable performance insights and issue investigation.
• Ensure the organisation has high‑quality, reusable, and well‑governed data assets that support accurate, consistent, and scalable enterprise analysis and decision‑making.
• Build strong cross‑functional relationships so the BI and Analytics function is viewed as a trusted partner across business, product, engineering, operations, and risk.
• Strengthen BI capabilities by developing deep skills in SQL, SAS, data modelling, dashboarding, visualization, and analytical investigation frameworks.
• Foster a culture of curiosity, continuous learning, and improvement to enhance the team’s analytical depth and innovation.
• Identify and implement continuous improvement initiatives across data quality, reporting workflows, and enterprise monitoring processes.
• Apply strong analytical problem‑solving to detect anomalies, assess business and customer impacts, and support issue resolution and performance enhancement.
• Communicate insights clearly and deliver accurate, timely, and well‑documented analytical outputs within an Agile delivery framework.
  

What will you bring?

The ‘must have’ knowledge, skill, and experience (KSE) the role requires are:

• 1+ years of strong SQL and SAS experience for enterprise data extraction, transformation, quality checks, and development of scalable analytical workflows.
• Hands‑on experience with BI and visualisation tools such as Tableau (Preferred), Power BI, and Qlik for building dashboards, analysing trends, and supporting data‑driven decision‑making.
• Proven ability to translate business problems and requirements into structured logic, data models, and analytical frameworks that support enterprise reporting and insights.
• Solid understanding of financial‑services processes, product behaviours, customer journeys, and operational data flows relevant to enterprise analytics.
• Experience delivering end‑to‑end BI/analytics solutions, including data sourcing, validation, KPI design, logic build, testing, and insight generation.
• Ability to communicate clear, actionable insights, simplifying complex analytical findings for business, product, engineering, risk, and operational stakeholders.
• Strong organisational, communication, and collaboration skills with experience working in cross‑functional, Agile teams.
• Demonstrated growth mindset, curiosity to learn, and consistent delivery of accurate, high‑quality analytical outputs with attention to detail.

The ‘good to have’ knowledge, skill and experience (KSE) the role requires are:

• Working knowledge of Python for advanced analysis and automation.
• Experience with Airflow or similar workflow orchestration tools.
• Comfortable working with large‑scale enterprise/product datasets.
• Understanding of BI, analytics, product lifecycle, and performance frameworks.
• Exposure to cloud platforms (AWS preferred).
• Ability to build automated BI dashboards and monitoring solutions.
• Knowledge of data modelling, lineage, and metadata management.
• Awareness of financial‑services regulatory and compliance requirements.
• Experience with APIs, containerisation, automation, and CI/CD is advantageous.
• Strong stakeholder engagement and requirements‑gathering capability.

So why join us?

ANZ is a place where big things happen as we work together to provide banking and financial services across more than 30 markets. With more than 7,500 people, our Bengaluru team is the bank's largest technology, data and operations centre outside Australia. In operation for over 33 years, the centre is critical in delivering the bank's strategy and making an impact for our millions of customers around the world. Our Bengaluru team not only drives the transformation initiatives of the bank, it also drives a culture that makes ANZ a great place to be. We're proud that people feel they can be themselves at ANZ and 90 percent of our people feel they belong. 

We know our people need different things to be great in their role, so we offer a range of flexible working options, including hybrid work (where the role allows it). Our people also enjoy a range of benefits including access to health and wellbeing services.

We want to continue building a diverse workplace and welcome applications from everyone. Please talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirements, let us know how we can provide you with additional support.

To find out more about working at ANZ visit https://www.anz.com/careers/. You can apply for this role by visiting ANZ Careers and searching for reference number 115533.

Job Posting End Date

11/05/2026 , 11.59pm, (Melbourne Australia)