About the role
Senior-level analytics specialist driving product and customer insights for consumer banking. Leads advanced analytics, campaign management, and cross-functional collaboration to optimize product features, customer journeys, and revenue through data-driven strategies.
BankingOnsite
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
- Articulate the data journey from end-to-end, from data ingestion coming from various systems to data-driven strategy implementations and portfolio monitoring
- 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
- 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
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