Marketing Analytics Specialist - BFSI

Key Roles & Responsibilities :

- Be an active member of the Centre of Excellence for analytics and data driven decisioning across Retail Products and Client Segments of the Retail Bank.

- Provide expertise and support in developing and implementing analytics solutions to support Products and Client Segments.

- Embed analytics in the business so that campaigns drive income as per Retail Clients Strategy and P&L targets, specifically:

- Drive Client-centric analytics with in depth engagement:

- Client segmentation

- Client Lifecycle Management (Acquire and activation, Cross Sell/Up Sell, Retention & Win-back)

- Enable scientific "test and learn" for direct to client campaigns

- Leads and trigger development from both segmentation and propensity models

- Pricing analytics and optimization

- Digital analytics including social media data analytics

- Line burn and line utilization analytics

- Client and product profitability analyses

- Business partnership with Country Client Analytics, Group Risk Analytics and Group Integrated Distribution.

- Compliance and Control

- Ensure appropriate operational procedures are in place in compliance with the Bank's strategy, branding policies and standards.

Qualifications & Skills :

- Tertiary qualifications in a relevant discipline (Statistics, Econometrics or Economics)

- 7+ years' experience in roles at an executive level ideally including experience covering Product analytics, Marketing analytics, data driven marketing and project management across a range of Portfolios and/or Industries

- Proven leadership track record driving business performance and sponsorship by senior stakeholders

- A strong understanding of profit levers and lifecycle management.

- Ability to effectively translate insights into business strategy.

- Strong project management experience including cross-functional working.

- Sound understanding of CRM principles, marketing automation, P&L forecasting and database marketing techniques.

- Strong in statistical techniques and propensity modelling

- Sound understanding of analysing large volumes of data

- Understanding and practice of digital analytics an advantage

- Very strong SAS, SQL and Excel/VBA skills

- Understanding of other programming languages an advantage

- Experience in the Financial Industry a distinct advantage

- Business acumen - understand what drives profitability.

- Thought leadership - able to create, rationalise and organise

- Ownership & Accountability - own, execute and deliver results

- Client centricity - solution, service and relationship

- Leadership and change agent - innovation and drive with passion

- People management & development

- Influencing and networking

- Strong oral and written communication

- Motivated by performance linked rewards

- Enjoy managing people

- Enjoy networking and alliance building