Data Analyst
6 days ago
JOB TITLE
Data Analyst, Hera Partner
REPORTING TO
Lead Data Analyst, Hera Partner
ROLE
The Data Analyst works closely with business partners to design, implement, and maintain data solutions, 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
**Primarily work with business partners **(internal) to identify, prioritise, and deliver on their most pressing and impactful use case, and manage expectations accordingly. Able to see the big picture and switch context easily. The business partners include functions from Distribution, Investments, ESG, COO, Finance & Legal, Risk & Compliance, and HR
**Understand the Data & AI solutions and architecture inside out **and able to evangelise how data can be applied to enable the company strategy
**Responsible for the smooth delivery of data projects end-to-end. **Collaborate with Data Engineers, Data Developers, and IT to deliver the requirements. Guide Data Stewards and Data Owners in ensuring data quality and addressing operational or data issues during implementation. Educate end users in using the developed products. Escalate issues or blockers that may arise
**Deliver consistent, accurate, and quality work. **Communicate information and findings in a clear and compelling way
EXPERIENCE / QUALIFICATIONS
At least 5 years of related working experience, e.g., in the areas of Data & AI projects. Familiar with data management framework and data architecture
Experience in managing stakeholders and requirements
Experience in asset management data, e.g., portfolio, security, positions, transactions, cash flows, client, performance, risks
Experience in business intelligence and data analysis. Proficient with data wrangling, analytics, and transformation using tools such as Python, SQL
Power Query. A strong understanding of Power BI is a plus
CFA Level 1-3, or good understanding of asset management, is a plus
GENERAL CANDIDATE ATTRIBUTES
Inquisitive, analytical, and problem solver
Attentive to details and comfortable dealing with complex datasets, structured and unstructured
Customer-centric and strive to deliver value by effectively and proactively engaging stakeholders
Able to communicate complex ideas clearly and manage expectations with stakeholders. Has good negotiation skills
Able to prioritise and organise, take a flexible approach to workload, and work autonomously when required
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