About the role
AI summarisedThis is a senior product and customer analytics role at a consumer bank in Singapore. The specialist will perform advanced analytics on product and customer data, build dashboards, conduct A/B testing and segmentation, and lead campaign management. The role requires strong technical skills in SQL, Python, R, and Tableau, and deep knowledge of consumer banking products.
BusinessFull-timeGeneral
Key Responsibilities
- Perform advance analytics on product and customer data to identify trends, patterns and insights that inform business decisions.
- Build and maintain dashboards, reports and metrics that track customer behavior and product performance.
- Conduct A/B testing, customer segmentation, and cohort analysis to optimize product features and customer journeys.
- Utilize statistical and predictive modelling to forecast product demand, customer behavior and identify opportunities for cross-sell/up-sell, optimize revenue and operations.
- Be able to articulate the data journey from end-to-end, from data ingestion coming from various systems to data-driven strategy implementations and portfolio monitoring.
- Be able to perform end-to-end Analytics, from Descriptive and Inferential, to Prescriptive and Advanced Analytics, applying ML solutions as required, and formulation of business strategies, including business impact analysis and overseeing of strategy implementation.
- Be able to perform process optimization and automation, DataMart architecture design and setup.
- Lead the Campaign and Leads Management team for campaign tasks planning, data execution, performance tracking and leads base management for SG Consumer Banking.
- Meet the needs of business teams in turn-around-time, data quality and advanced analytics during implementing marketing campaign strategies.
- Work closely with business stakeholders, including product managers, marketing teams, and segment managers, to understand their analytical needs, provide support, and guide decision-making processes.
- Interpret data and present findings to stakeholders, making recommendations to enhance business outcome, customer experience and product impact.
- Stay updated on industry trends, best practices, and regulatory changes in the banking and wealth management sectors to identify opportunities for innovation and competitive advantage.
Requirements
- Bachelor's degree in Data Science, Data Analytics, Business Analytics, Statistics or related field; Master's degree or Master/PhD preferred.
- 5+ years of experience in product or customer analytics.
- Proven expertise in analytics tools (e.g., SQL, Python, R) and visualization platforms (e.g., Tableau, Power BI).
- Familiarity with Consumer Banking products including Deposits, Wealth Management, Loan, Card and Customer Segmentation concepts and practices.
- Strong knowledge of statistical modeling, A/B testing, customer segmentation, and lifecycle analysis.
- Ability to work collaboratively in cross-functional teams and manage multiple priorities in a dynamic environment.
- Knowledge of regulatory requirements and industry compliance standards in the banking sector is preferred.
- Excellent communication and presentation skills to effectively convey complex data insights to non-technical stakeholders.
- Proficient in SAS, SQL, Python, R Programming and MS Excel.
- Proficient in Business Intelligence tools (Tableau).
- Must be able to solve problem quickly and efficiently.
- Strong analytical and communication skills.