Eastspring is a global asset manager with Asia at its core. We create a culture in which diversity is celebrated and inclusion assured, for our colleagues, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and in exchange, we support our people\'s career ambitions. We pledge to make Eastspring a place where you can Connect, Grow and Succeed.
. The Lead Data Analyst is responsible for the effective design and successful implementation of data management solution, to enable the regional rollout of Data & AI initiatives.
.
KEY ACCOUNTABILITIES
A core team member of Data & AI, responsible for the collective success of the team and the company. The Data & AI team consist of various domain experts including Data Engineers, Data Developers and Data Analysts to perform multi-disciplinary, interrelated activities
Responsible for designing and implementing enterprise-wide data management solutions (SSOT) for all Data & AI initiatives across Eastspring in different countries
Work with business partners to identify, prioritise, and deliver on their most pressing and impactful use case. Advocate and establish data taxonomies that are consistent and comprehensive
Work with relevant stakeholders to establish robust data governance, including clearly defining the roles and responsibilities of data stewards and owners for maintaining and ensuring data quality
Ensure data management processes comply with established framework and policies. Document work and any new procedures so others will be able to interpret, assess and repeat the work
Lead and supervise a small team. Be able to cover the team and get your hands dirty as required. Identify opportunities for enhancements in data management capabilities
Deliver consistent, accurate and quality work. Communicate information and findings in a clear and compelling way
EXPERIENCE / QUALIFICATIONS
At least 8 years of related working experience, e.g., in the areas of Data & AI projects. Familiar with data management framework and data architecture
Strong technical skills in data and database management. Proficient with data wrangling, analytics, and transformation using tools such as SQL, Excel, etc. Python is good to have
Experience in managing stakeholders and requirements
Experience in business intelligence and data analysis. Proficient with data wrangling, analytics, and transformation using tools such as Python, SQL, and Power Query. A strong understanding of Power BI and Power Apps is a plus
Experience in working with asset management data is a plus, e.g., portfolio, security, positions, transactions, cash flows, client, performance, risks
CFA Level 1-3, or good understanding of asset management, is a plus
GENERAL CANDIDATE ATTRIBUTES
MNCJobz.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.