Lead Data Enablement Analyst

Location
D01 Cecil, Marina, People’s Park, Raffles Place
Job Type
Full-time
Experience
Mid
Category
General
Salary
$7,000 - $9,000
Posted
15 hours ago
Expires
May 28, 2026
Views
1

Job Details

Vacancies

1 position

Experience Required

No experience required

Job Description

Role - it is Data Engineering Strategy and Governance, It focuses on cleaning up "technical debt" (legacy systems) and building a unified, "single source of truth" for a large organization.

Core Responsibilities

Advanced Technical Data Analysis & Lineage Discovery:

  • Utilize senior analyst framework to conduct exhaustive deep-dives into multi-entity data lineages, identifying and resolving highly complex definition and logic gaps between disparate business lines.  
  • Synthesize fragmented legacy logic into standardized core metrics, including intricate financial lifecycles, multi-dimensional loan/credit mapping, and multi-layer-granularity complex behavior funnels. 

    Architectural Standardization & Logic Engineering:

  • Design and implement a centralized data source to unify disparate definitions and reporting practices across multiple business entities and products.
  • Guide data engineering team to standardized complex logic , table structures and thousands of critical data points, ensuring a trusted foundation for automated enterprise reporting

    System Refactoring & Decommissioning Strategy:

  • Execute sophisticated analysis to identify redundant legacy data pipelines and deploy comprehensive decommissioning strategies that optimize cloud compute resources without compromising institutional data integrity

    Complex Stakeholder Orchestration & Technical Alignment:

  • Navigate and align a complicated ecosystem of high-level stakeholders across Risk, Finance, Product, and Engineering departments to reach technical consensus on disputed logic and parameters. 

    Governance & Security Architecture:

  • Establish and enforce stringent technical governance policies, including advanced data masking for sensitive risk attributes and the design of strictly restricted access protocols.

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