Lead Data Analysis

An exciting opportunity to join one of the world's largest financial services organizations to lead the delivery of the bank's data platform for business banking and wealth management.

Key Skills Required : Big data engineering, datamart design, SAS, SQL, Python, Spark, PySpark, Spark SQL, Tableau or MicroStrategy

Domain Experience Required : Business Banking / Consumer Banking

Responsibilities :

Leading BI / Reporting function for Business Banking segment and related products.

Manage reporting, insight analytics and drive business growth agenda.

Extend analytics support spanning across entire gamut of business (Customer Acquisition, Portfolio Management, New Product Development).

Drive self-serve adoption across analytics and business user community.

Interact with business divisions and analytics function to understand their business requirements and translate them into data requirements (data, data structures and data model requirement) for Infrastructure Teams.

Lead the effort on business data - understand business data requirements, explore data sources, reconcile outcome, establish business logics and curate data dictionaries, etc.

Enabling customer satisfaction by providing quality service, submitted in a timely manner and communicated effectively.

Continuous Improvement in Productivity to the standards prescribed from time to time.

Continually reviewing all assigned processes to identify opportunities for quality and process design improvement.

Requirements :

Strong Quantitative background : advance degree in Statistics, Computer Science, Engineering, related data centric field. etc.

Strong analytical skills with business analysis experience or equivalent. In-depth knowledge and understanding of financial-services / banking-operations and SME banking is a must.

10+ years of experience in building domain oriented global datamarts from data sourcing, KPI definition, to implementation and building reporting and insight analytics.

Strong understanding of SME Banking services including Trade, Corporate Loans, FX and consumer banking products is essential.

Deep experience developing successful data & BI platforms and solution to business problems.

Proven track record of solving ambiguous and highly complex data problems.

Strong interpersonal and communication skills. Must be able to explain technical concepts and analysis implications clearly to a wide and senior audience and be able to translate business objectives into actionable analysis.

Ability to design processes and procedures which are continually reviewed, improved and changes communicated for effective implementation, with consensus of key leaders in the wider organization.

Ability to understand and connect business drivers and rationale for and application of those relevant to the Retail business.

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