Campaign Data Analyst
BNZ Place Auckland, 80 Queen Street, New Zealand
Bank of New Zealand
BNZ everyday and savings accounts, app and online banking, home loans/mortgages, credit cards, insurance, investments, foreign exchange and more.Worker Type:
PermanentHere at BNZ, it's about more than just banking. We work together in an agile, energising environment to create innovative solutions through our promise "If you can imagine a better future, let's find a way."
We support wellbeing, flexible working and have a generous leave offering. There is the opportunity for growth, learning and career development. No two days are the same.
He Waka Eke Noa | Creating Great Together
Here at BNZ we embrace flexible working and have a strong focus on career development and progression, as well as a range of great benefits, including 6 weeks annual leave! This is a fantastic opportunity for those who are excited by big challenges and delivering brilliant outcomes for customers.
This is an opportunity for you to join our Customer Engagement team as a Campaign Data Analyst. The Customer Engagement team leads data-driven customer communications orchestrated across channels. It comprises several specialist teams who work alongside other units in BNZ to design and advance the customer experience. These communications are critical to the bank’s success: they drive revenue, generate funding, deliver customer service, and ensure the bank meets its statutory, regulatory and contractual obligations.
Mō te Tūranga | About the Role
The Campaign Data Analyst partners with teams in Marketing, Product and across the business to deliver data extracts for highly targeted data-driven customer communications.
We sat down with our Head of Customer Engagement Operations, who let us know the following about the role:
What are 5 day to day tasks the person in this role will complete?
Collaborate with stakeholders to understand their requirements.
Program in SQL, Python, PySpark, Hadoop.
Perform QA on finished code.
Stakeholder management: provide updates and feedback.
Manage your own projects.
What is the most exciting thing about this opportunity?
The variety! You will get the opportunity to meet people from all parts of the business, and you will get to know and understand how the business works.
What is the team culture and environment like?
The team is friendly and supportive. We share our successes and our mistakes, and we learn from both. Most projects require two people, so you always have someone to help, and with over 100 people in the wider team, there is always an expert to ask.
What projects / work will the candidate be working on now and into the next year?
A huge range of customer communications:
Direct mail, email, SMS, telephone, online
Marketing, operational, regulatory
To businesses and consumers
All our products, loyalty schemes, and brand communications
What will success look like for the candidate in this role?
You will develop your technical skills, your project management and stakeholder management skills, and your commercial understanding of the business.
What attributes will this person display in order to be successful in this role?
1-3 years or more of relevant experience (SQL, Python, PySpark, Hadoop).
Experience of or interest in: campaign management, database marketing, and data extraction.
Good track record of engaging with all levels of the business, reporting findings and challenging the status quo.
Nau Mai ki te Pēke o Aotearoa | Come to the Bank of New Zealand
Applications for this role close Wednesday 25 June 2025.
This is an exciting opportunity to join us! We're bold thinkers who are taking brave steps to create a company that people want to work for, and customers want to bank with. If you're ready to join a fun organisation where we are proud of our culture and how we are helping New Zealander's to 'Find their way', then show your interest by submitting your application - we can't wait to read it.
Ehara taku toa i te toa takitahi, engari he toa takitini" - Success is not the work of an individual, but the work of many.”
Closing Date: 25 June 2025* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Banking CX Hadoop PySpark Python SQL
Perks/benefits: Career development Flex hours
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