Python Job: Data Analyst and Senior Data Analyst (multiple rol

About the role
Job Title: Data Analyst and Senior Data Analyst (multiple roles) – Marketing Analytics
Location: Docklands, Melbourne (Hybrid)
Type: Permanent

We have multiple roles for an Experienced Data Analyst and a Senior Data Analyst available within the Marketing Analytics team.

The Marketing Analytics mission is to enable targeted customer growth and retention by using meaningful data, scientific methods and automation to make the best decisions and provide highly-relevant and timely communications in-channel. You will seek to intimately understand the underlying needs and objectives of business stakeholders, conduct deep analysis identify rich personalisation opportunities, and implement and monitor arbitration, customer decisioning and behavioural rules, triggers and models.

These roles will join one of the following two squads:
Customer Predictions & Decisions: To make the best predictions and personalisation decisions for each customer in-the-moment, balancing strategic objectives with customer experience and financial outcomes
Customer Insights & Activation: To deliver compelling and actionable personalisation and funnel insights, maintain key customer audiences and business rules, and champion self-service digital insights
What will your day look like
Undertake qualitative, quantitative and desktop research to uncover actionable insights that can improve solutions and identify new opportunities
Apply advanced modelling, statistics, research and causality to understand complex data problems
Design, configure and optimise business rules and frameworks for marketing arbitration, real-time prioritisation and decisioning, and event-driven marketing systems
Design and create methods for monitoring and analysing the effectiveness of the business rules, frameworks and decisions as it relates to customer and business outcomes
Conduct PIRs, opportunity discovery, business-casing and funnel analysis and present insights and actionable recommendations to business stakeholders
Defining, creating and optimising business rules and audiences for always-on personalisation
Customer profiling and segmentation to inform marketing, personalisation and content strategies
Create and maintain tags and data extracts / uploads to ensure optimal digital marketing performance
Peer-review work done by other analysts and contribute to knowledge sharing and skills uplift
Coach and support data literacy and self-service analytics across stakeholders
Contribute to the requirements, design and development of dashboards, data assets, and continuous improvement of analytics methods, processes and tools
What will you bring?
Strong applied experience with rules-based and event-driven customer decisioning and marketing systems – particularly Unica Optimise and Interact; and Adobe Target; and similar knowledge regarding Paid Media platforms. Knowledge of Pega would be of interest.
Knowledge of customer behavioural triggers and contextual decisioning in the context of digital interactions and financial services, including key data sources
Strong written, visual and verbal communication of analysis insights and recommendations to a non-technical audience
Commercial and financial acumen – understand and articulate business drivers and levers
Problem-solving, critical thinking and customer-centric
Analytically-driven inquisitive mindset with a continuous improvement focus
Ability to take a blue-sky opportunity from the ground up – identify, qualify and quantify opportunities, prioritise and execute, and influence stakeholders and work with squad members to deliver outcomes
Strong experience with tools and techniques for analysis, data manipulation and presentation (SQL, Teradata, Python, R, Qliksense, SAS, Tableau highly desired)
Experience combining disparate data from multiple sources to create a complete understanding of a problem or opportunity
Strong ability to create insights from data and develop practical and actionable business recommendations with engaging yet sophisticated visualisations
Knowledge of banking industry, marketing/personalisation data and techniques, and next-best-action / arbitration / real-time decisioning concepts
Experience applying data science features, models and outputs in batch and real-time decisioning platforms
A coaching mindset, able to bring people on a journey and help them grow

You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture and we actively encourage people to try new things.

So, why join us?

At ANZ, everything we do boils down to ‘why’ – our purpose – to shape a world where people and communities thrive. We're just as focused on seeing our people thrive as well as our customers. We'll give you every opportunity to develop your career.

We are responding faster to changing customer requirements, focusing on the things that matter the most, energising our people, eliminating waste and reducing bureaucracy.

A happy workplace is a thriving one. So to attract and keep the best talent, and say thanks for the hard work, we make sure all our employees are rewarded.

We work flexibly at ANZ and encourage you to talk to us about how this role can be flexible for you. Some of the work we do can be done from home, and some from an ANZ workplace – it’s all about what works for your team, and above all else, our customers!

We want to make sure everyone has an inclusive and supportive experience throughout our recruitment process and when joining ANZ. If you are a candidate with a disability, and require adjustments to our recruitment process or the role itself let us know how we can provide you with additional support.

Job Posting End Date

, 11.59pm, (Melbourne Australia)