Permanent Role
Hybrid Working Model
Sydney Location
How will I help?
As a Data Analyst within the Westpac CBMO (Consumer Bank Marketing Operations) team, you will be at the forefront of transforming data into valuable insights. Your work will directly impact our Brand and Marketing strategy, enabling us to make informed decisions.
What’s in it for me?
You’ll play a significant part of the future of a business that has been around for 200 years. Our purpose is creating better futures together. So, we’ll back you in the development of your career, internal career prospects, and flexible working. You’ll also keep learning to grown, backed by a fantastic team of people with a can-do, supportive structure. Whatever shape your family takes, we offer generous paid and unpaid parental leave for your nominated primary and support carers. This includes leave to organise adoptions, surrogacy, and foster care arrangements. And we continue to pay your super contributions while you take all the time you need to get your new family settled.
Your responsibilities will include but not limited to:
- You will be responsible for supporting with tactical as well as strategic insights and analysis to support the wider marketing team and build a BI suite for ongoing performance monitoring.
- Utilize sophisticated SQL, Python or other relevant programming skills to extract, manipulate, and analyse data from various sources and systems.
- Develop and maintain automated data processes to streamline data acquisition and integration.
- Derive meaningful insights from complex datasets through statistical analysis, insights, and data mining techniques.
- Create interactive and visually compelling reports and dashboards using Power BI for effective data visualization.
- Collaborate with stakeholders to understand their analytical needs and deliver tailored solutions.
- Prepare professional presentations for stakeholder decision making and information sharing.
- Stay abreast of industry trends and emerging technologies in the field of data analytics.
What do I need?
- Proven 1-2 experience as a Data Analyst or similar role in a fast-paced environment with a degree in Computer Science, Statistics, Mathematics, or a related field
- Experience working in a large multinational bank, financial or consulting firm is advantageous.
- Demonstrated Strong proficiency in SQL and experience working with large datasets; Python, R, Clickstream/Adobe Analytics, Azure ML workbench are highly regarded.
- Familiarity with data extraction, transformation, and loading (ETL) processes.
- Demonstrated ability to derive actionable insights from data and communicate findings effectively.
- Proficiency in data visualization tools, particularly Power BI.
What is it like to work there?
We aim to provide one big, supportive team to help us achieve our purpose of creating better futures together. As well as competitive remuneration and a great culture, joining the Westpac family means you will have access to banking, wealth and insurance benefits.
How do I Apply?
Start here. Select the APPLY or APPLY NOW button.
At Westpac we are committed to providing a supportive culture and creating diverse, inclusive, and accessible workplaces, branches, products and services for our customers, employees, and community. This role is open to experienced candidates seeking a discussion around workplace flexibility. We invite candidates of all ages, genders, sexual orientation, cultural backgrounds, people with disability, neurodiverse individuals, and Indigenous Australians to apply. If you have questions about the recruitment process, please email ***************@westpac.com.au.
Do you need reasonable adjustments during the recruitment process?
We can provide reasonable adjustments for individuals with disability and/or neurodiversity. If you require an adjustment to be made during the recruitment process at any stage, please call 1800 655 592 Option 2.3 or email ***************@westpac.com.au
Please note shortlisting and interviews may take place prior to the advertised close date, so don't delay; apply now!