The Data Decision Science team aspires to be the best analytics and decisioning team in the world at engaging customers by solving complex customer, product channel problems through multi-channel strategies to deliver value for the Retail Bank. We are the pioneers of leveraging Next Best Action marketing decisioning technology and the Group s data to anticipate and meet our customers needs in an orchestrated, consistent and meaningful manner.Whilst we all come from a range of backgrounds and disciplines, what brings us together is a single passion to stretch ourselves and make a real difference for the organisation and our customers.

We re interested in hearing from people who have

• Min. Undergraduate technical degree B.E. or B.Tech. or equivalent; or post-graduation degree in Economics/ Statistics/ Computer Applications/ IT/ Business Administration (MBA) with 6 months – 2 years of relevant experience

• Experience in SQL (Oracle, MySQL or Teradata) or SAS (or any other similar data mining tool)

• Experience in building BI reporting – e.g. Tableau, R Shiny, Alteryx, Qlikview

• Conceptual understanding and application of statistical techniques for analytical problem solving

• Desirable – experience in R / Python or other machine learning tools

• Desirable – academic/ conceptual understanding of advanced analytics, machine learning and data science tools

Roles and Responsibilities-

• Working collaboratively in cross-functional teams with Marketing and Business Segment colleagues to develop campaign initiatives that assist in meeting objectives, with a specific focus on using data and insights to create relevant messaging which speaks to whole-of-customer needs

• Pro-actively engage with stakeholders by supplying customer insights which determine appropriate analytics requirements to recommend marketing and customer engagement strategies

• Data extraction, manipulation and analysis of customer and other data using analytical and data mining tools

• Act as an expert in advising and promoting Test and Learn methodologies to ensure quality insights

• Using advanced business acumen, translate complex business requirements and objectives into technical briefing to support the delivery of data-driven customer communications

• Generate and maintain performance measurement reports; communicate learnings in an accessible manner to non-technical partners; and make recommendations for future activity

• Refine and optimise campaign activities based on post-campaign analysis to maximise campaign profitability or marketing objectives

• Deliver to deadlines by managing multiple priorities in a dynamic and fast-paced environment.

Team responsibilities

• Identify any customer engagement and growth opportunities within customer and business segments

• Provide input with regards to market and competitive trends that are impacting segment customers and those that are seen as opportunities for new business

• Help develop highly personalised customer value propositions considering channel, product and offer

• Synthesise qualitative and quantitative data and facts from various sources to identify relationships and patterns, drawing logical conclusions

• Responsible for carrying out the activities defined as per the agreed insights