Data Analytics Visionary

3 weeks ago


Singapore The Edge Partnership Full time

About the Role

The Edge Partnership is seeking a Data Analytics Visionary to lead the development of the Bank's Information & Analytics products. As a key member of our team, you will leverage a proven track record of delivering these solutions across global organizations with varying levels of business analytics maturity.

Key Responsibilities

  • Engage with analytics leaders to embed advanced analytics into decision-making processes.
  • Develop and deliver data-analytics platforms, whether on-premises, cloud-based, or hybrid.
  • Bring exceptional expertise in information and analytics, particularly in data preparation, insight generation, and visualization using BI tools or similar platforms.
  • Provide strong leadership in data management, ensuring the ethical and controlled delivery of analytics products.
  • Act as an information and analytics visionary, driving the delivery of cutting-edge solutions through strategic internal and external partnerships.
  • Shape the information and analytics agenda, collaborating with all business units to design and implement roadmaps for analytics adoption.
  • Build and lead a global team of information and analytics experts, mentoring and fostering their growth to support the transformation of the organization.

Requirements

  • Master's degree in a quantitative field or a 4-year Bachelor's degree with a minimum of 10 years of relevant experience in data.
  • Preferred experience in Financial Services or adjacent consumer-centric industries.
  • Strong understanding of fundamental data concepts, including data modelling, pipelines, quality, lineage, and warehousing methodologies.
  • Proficient in cloud engineering and solution design, with experience using AWS data platforms like Redshift, EMR, RDS, Athena, and Glue.
  • Expertise in Data-Ops, AI, and ML-Ops processes, platforms, and methodologies.
  • Experience in microservices development, including building and maintaining scalable, fault-tolerant services and efficient server-side APIs.
  • Skilled in REST services, JSON, Python 3, Linux/Unix shell scripting, and containerization.
  • Expertise in modern data management methodologies and architecture.
  • Experience in building and managing data pipelines using Spark or similar big data tools.
  • Strong business acumen to identify scenarios where data and analytics can drive KPIs and improve business outcomes.
  • Ability to clearly demonstrate the value of analytics interventions and drive decision-making.
  • Proven ability to engage and manage relationships with C-suite and senior executives to drive compliance with data frameworks and guide change management processes.
  • Capable of training and mentoring teams, internal business units, and stakeholders on data management frameworks and operational improvements.
  • Familiar with agile methodologies and able to manage and deliver multiple projects effectively.


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