Vp, Team Lead, Data/business Analyst

5 days ago

Singapore DBS Bank Full time

Business Function
The Consumer Banking Group Data Chapter is committed to building a data driven organization and maximizing the key data capabilities to transform how CBG does business. Data impacts CBG’s businesses every day, and a culture of relentlessly using data and business intelligence will enable CBG to achieve exponential growth.
About the role

**Responsibilities**:

- Lead data driven decision making for Credit Cards Portfolio
- Understand credit card products and consumer credit lifecycle - origination, activation, management, and retention/attrition.
- Understand various aspects of card payments and the processes involved - types of payment methods, channels, transaction types, etc.
- Understand customer engagement methods - prospecting, click through journey, portfolio management, etc
- Work closely with Product, Marketing, Risk, Regional, Finance and Operations teams to develop new strategies, build seamless customer journeys, drive better customer experience.
- Create customer and business impact
- Utilize Data Driven Operation Model (DDOM) to maximize value from data and drive business impact with product partners
- Drive cognitive and automated banking initiatives through Machine learning models development and automation of control towers
- Identify key trends, provide insights on performance & causality and identify opportunities to deepen customer engagement
- Be customer obsessed. Drive deeper understanding of consumer needs and preferences Analyse customer behaviour and help design campaigns/experiments to drive customer engagement and marketing effectiveness

**Requirements**:
Thought Leadership and Business Knowledge
- Bachelor's degree (or higher) with 10+years of progressive analytics experience and deep understanding of credit card products
- Preferred but not mandatory: Past experience in data management and analytics in the banking/fintech/financial consulting industry
- Understanding of analytics strategies and models to ensure business readiness and applicability
- Capable to carry out expert dialogues with stakeholders and product partners

Technical Skills
- Well-versed with data analytics techniques like descriptive, predictive, prescriptive, ML and AI.
- Strong analytical and problem solving skills; highly numerate with keen eye for details and accuracy.
- Proficiency in coding skills and ability to run queries for data extraction.
- Preferred knowledge on statistical languages including SQL, Python, Pyspark
- Preferred but not mandatory: proficiency in data visualization tools such as Qliksense

Interpersonal Skills
- Self-starter and growth mindset; open to transformation capabilities in the organisation.
- Strong analytical and problem solving skills; highly numerate with keen eye for details and accuracy.
- Communication and presentation skills - ability to explain complex concepts with simplicity; ability to handle difficult conversations with stakeholders and product partners with discerning tact.
- Leadership and collaborative skills; ability to effectively guide and lead while collaborating effectively with peers in cross-functional teams
- en

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