Data Analyst Chapter Lead

About the role

About the role

**Job Title**: Data Analytics Chapter Lead - Marketing & Digital Data Area

**Location**: Docklands, Melbourne (Hybrid)
Permanent opportunity

The Role

Analytics helps organisations change the way they look at business problems. Data Analysts deeply understand the power of data to generate quality customer insight, manage information, identify trends and make decisions.

The Marketing & Digital Data Area’s 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. Our work is focussed on five key themes:
Understanding our customers and anticipating their needs and actions with self-learning predictive models and deep analytical data
Providing our customers with the most relevant experience at every step by making the best decisions based on all relevant information every time
Enabling our stakeholders to be data-driven and fluent through championing self-service tools and analytics
Guiding the business in doing the right work the right way with specific, deep and actionable insights
Supporting sustainable and strategic initiative delivery with key data assets and integrations for personalisation use-cases

As a Chapter Lead, you are responsible for building world class capability in your chapter. You’ll be a promoter and ambassador of the new culture and ways of working. You will bring domain knowledge or deep expertise, and develop this expertise and T-shaped capability in your chapter members ensuring knowledge sharing, up-skilling, career development, and standards / governance / QA are embraced and adopted.

This role is pivotal in building and fostering a strong data-driven culture across the broader department and our stakeholders. This role is an active member of the Data Area’s leadership team, supports the growth of capability across the Data Area, and works with other Chapter Leads, Capability Area Leads and Product Owners to define and deliver priority features. This role has approximately 9 direct reports.

What will your day look like
Coach and develop chapter members, building a deep level of business understanding and technical skill, including training and upskilling
Listen and act on staff feedback
Maximise value from vendor relationships and participate in vendor management activities
Run knowledge sharing and/or skills uplift sessions with the broader analytical community through chapter-of-chapter meetups
Champion and lead continuous improvement activities that improve efficiency & quality of work, deepen stakeholder engagement and data-literacy, and grow business impact
Generate, monitor, analyse and present relevant customer and business insights, costs, benefits, and risks; this could include business casing, what if scenarios and opportunity sizing & assessments
Source data from a variety of platforms and using different technologies to combine, synthesise, analyse and solve complex business issues and generate insight
Initiate, design and implement innovative trends in the field of data analytics and visualisation
Have a clear understanding of the end-to-end analytics journey as well as the ability to support, define and deliver the Data Area Roadmap
What will you bring?

**Strong leadership and expert communication**:
Proven ability to lead and inspire
Expert communication and presentation skills to effectively communicate to all stakeholders (technical and non-technical)
Superior interpersonal skills and self-awareness
A natural when it comes to coaching and mentoring a team of analysts to deliver actionable business insights and customer-focussed outcomes
Expert problem-solver and sharp customer focus

**Deep data expertise**:
Hands-on deep knowledge and experience with tools and techniques for analysis, data manipulation and presentation (e.g. SQL, Python, Hadoop, Teradata, Oracle, Qliksense, SAS, R, Tableau)
Strong ability to translate data insights into practical and actionable business recommendations with engaging yet sophisticated visualisations
Analytical and inquisitive mindset to continuously improve the level of insight surfaced

**Industry and domain knowledge**:
Experience working on data-driven marketing/personalisation initiatives
Good understanding of next-best-action concepts, operating models, and approaches to arbitration and real-time decisioning highly desired
Experience working with digital behavioural data (clickstream) and Adobe products highly desired

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?

We’re reinventing the way we do banking, and our community of collaborative, innovative thinkers who create human-centred solutions are helping us get there. We’re responding faster to changing customer requirements, focusing on the things