Product Forensics Data Analyst
Bengaluru, IN
ANZ Banking Group Limited
ANZ offers a range of personal banking services such as internet banking, bank accounts, credit cards, home loans, personal loans, travel and international, investment and insurance. Learn about easy and secure ways to manage your money.About the role
Product Forensics Data Analyst
Role Location: Bengaluru - Ecoworld
Role Type: Permanent Full Time, 4.3
At ANZ our purpose is to shape a world where people and communities thrive.
We’re making this happen by improving the financial wellbeing and sustainability of our customers so they can achieve incredible things – whether they’re buying a home, building a business or saving for things big or small.
Do you enjoy Product Analytics? Do you want to build up a detailed knowledge of how banking products work? Are you naturally curious?
With our new Product Forensics Analytics Unit …
Our purpose is to ensure we do the right thing by our customers, to build and sustain a trusting relationship with them.
The unit achieves this by focuses on the promises made to our customers across the broad and complex portfolio of Retail and Commercial Banking products. In doing so, we fulfil our mission through the ongoing prevention and detection of “the unexpected” so that the customer experiences are seamless and reliable.
What will your day look like
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We perform product analytics to detect and prevent “the unexpected” across the Retail and Commercial Bank product portfolio to drive continuous improvement and have a positive influence on the strategic change to banking systems, operations and product management.
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We build continuous monitoring mechanism to proactively manage, prevent and detect product risks across the Retail and Commercial bank to drive action.
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We upskill Product areas in “data analytics” to enable self-sufficiency in Product Analytics and Forensics capabilities.
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We influence the ongoing evolution of Product Management and Risk Management Framework, Policy, Process and Procedure through our analytical endeavours into the “customer promise” across our product portfolio.
As a Product Forensics Data Analyst focused on the Retail and Commercial banking domain, you will bring extensive analytical and technical skills, business acumen and natural curiosity to enable the unit to deliver on a wide range of product investigations and analysis and support initiatives through valued insights.
What will you bring?
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6 + years of experience in data analytics domain.
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An inquisitive mindset and can break down problems and plan out manageable work activities through Hypothesis Based Thinking or Structured Problem-Solving approaches.
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Extensive development expertise in at least ONE of the following languages: PySpark, SQL or Python. However, one must be able to upskill into PySpark for investigative purposes on the job rapidly.
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Experience working in the analytics field on the Hadoop Ecosystem and Spark or experience in conducting investigative analytics in a Teradata or SAS environment with a willingness to upskill.
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Understanding and demonstrated experience in general data concepts (e.g. entity relationships, data flow and manipulation) and data curation, transformation and processing practices.
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Experience working in a high-paced delivery environment using agile practices and tools such as JIRA, Confluence and Testing Frameworks and procedures.
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Self-Managed and accountable for delivery expectations and can adapt to changing priorities and ambiguity.
So, why join us?
There’s something special about being part of ANZ. From the moment you join us, you’re part of a team working towards a common goal: improving the financial wellbeing and sustainability of our millions of customers. And that’s big.
But it’s not just our customers who will feel your impact. You’ll feel it too. Because at ANZ, you’ll have the resources and community you need to take the next big step in your career, towards even bigger things in the future.
We offer a range of benefits tailored to the countries in which we operate to provide all our people:
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Health and wellbeing programs
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Discounts on selected products and services (from ANZ and beyond)
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Flexible working arrangements, lifestyle leave and career breaks
You’ll also enjoy working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated. We encourage you to 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, let us know how we can provide you with additional support.
To find out more about working at ANZ or to view other opportunities visit www.careers.anz.com.
Job Posting End Date
26/05/2024, 11.59pm, (Melbourne Australia)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Banking Confluence Data Analytics Hadoop Jira PySpark Python SAS Spark SQL Teradata Testing
Perks/benefits: Career development Flex hours Flex vacation Health care Team events
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