Senior Analyst, Data & AI Enablement
Invesco · Hong Kong · 1d ago
About Invesco
As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for ourclients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.
What's in it for you?
Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:
Generous annual leave plus flexible paid time off
Hybrid work schedule
Learning and development programs
Health & wellbeing benefits
Parental Leave benefits
Employee stock purchase plan (if applicable in your region)
Job Description
About Your Role
The Senior Analyst, Data & AI Enablement will serve as the primary liaison between the APAC Real Estate business and the Real Estate Technology organisation.
The role is responsible for identifying opportunities to improve business processes, reporting, decision-making and operational efficiency through the effective use of data, analytics and emerging AI capabilities.
Working closely with business stakeholders, technology teams and Enterprise Data & Analytics functions, the individual will translate business requirements into data products, analytical solutions and AI-enabled capabilities that deliver measurable business outcomes.
This position combines business analysis, data stewardship, analytics enablement, product ownership support and AI opportunity assessment within a rapidly evolving data-driven investment environment.
You Will Be Responsible For:
Business Engagement & Analysis
- Build strong relationships with stakeholders across APAC Real Estate.
- Understand business objectives, processes, challenges and reporting requirements.
- Facilitate workshops and requirement gathering sessions.
- Document current and future state processes.
- Translate business requirements into clearly defined technology and data requirements.
Data & Analytics Enablement
- Partner with business stakeholders to define KPI requirements and reporting standards.
- Support development of business intelligence and analytical capabilities.
- Promote adoption of self-service reporting solutions.
- Identify opportunities to eliminate manual reporting processes and spreadsheet dependency.
- Support development and enhancement of enterprise reporting solutions.
- Assist in defining analytical use cases and value measures.
- Act as a regional advocate for enterprise data governance standards.
- Support implementation of data ownership and stewardship practices.
- Define and maintain business terminology, KPI definitions and business glossaries.
- Assist with data quality monitoring and remediation activities.
- Work with technical teams to support metadata management and data lineage initiatives.
AI Enablement & Innovation
- Identify business processes and activities that could benefit from AI-driven capabilities.
- Assist in evaluating potential AI use cases across investment, asset management, fund management and operations teams.
- Support preparation of business cases for AI initiatives.
- Partner with engineering teams to define business requirements for AI-enabled solutions.
- Promote responsible AI adoption and governance practices.
- Support user adoption and education relating to AI capabilities.
The Experience You Bring:
- 5+ years experience in business analysis, data analytics, technology delivery, reporting or related disciplines.
- Experience working with both business and technology stakeholders.
- Strong analytical and problem-solving capabilities.
- Experience documenting business requirements and process flows.
- Experience supporting reporting or data programmes
Preferred Experience:
- Real Estate Investment Management
- Private Markets
- Asset Management
- Data Governance initiatives
- Data Quality programmes
- Analytics and Reporting platforms
- AI or Generative AI initiatives
Technical Knowledge
Desirable experience with:
- Snowflake
- Power BI
- SQL
- Data modelling concepts
- Data governance frameworks
- Microsoft Copilot and Generative AI technologies
- AWS data platforms
Full Time / Part Time
Full timeWorker Type
EmployeeJob Exempt (Yes / No)
NoWorkplace Model
At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least four days a week, with one day working outside an Invesco office.
Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable local laws governing non-discrimination in employment.
Personal data provided by job applicants will be used strictly in accordance with our personal data policy and for recruitment purposes only. Candidates not notified within twelve weeks may consider their application unsuccessful. All related information will be kept in our file for future recruitment purposes. When there are vacancies in our subsidiary or associate companies, we may transfer the application to them for consideration of employment. Under the Personal Data (Privacy) Ordinance, job applicants have a right to request access to, and to request correction of, Personal Data in relation to the application. If job applicants wish to exercise these rights, they should contact the Human Resources department.