Responsibilities
- Design, build and maintain robust, scalable data models and custom statistical solutions using advanced analytical techniques that adapt to the fast-evolving technology landscape.
- Deliver high-quality analytics and market predictions that form the quantitative foundation for both syndicated and consulting research projects across multiple segments.
- Implement and enhance analytical methodologies that transform complex data into actionable business intelligence.
- Act as the analytical subject matter expert, collaborating with research, product, technology and operations teams.
- Participate in specific analytical workstreams and methodological initiatives under the direction of the head of advanced analytics, taking ownership of implementation and adoption across designated teams.
- Maintain quality control standards for analytical outputs, including validation protocols, peer review processes, version control and documentation requirements to ensure consistency and reliability across deliverables.
- Support head of advanced analytics in delivering bespoke projects and assist in developing the team strategy.
Requirements
- Highly numerate senior data modeller with strong analytical and statistical skills.
- Experienced modeller with strong model building capabilities.
- Proven track record of compiling market predictions for bespoke/consulting projects.
- Experience presenting to level executives.
- Ability to communicate effectively to both internal and external customers.
- Demonstrated initiative and a flexible yet organised approach to providing analytical insights and predictions across a range of different industry segments and subject areas in response to changing market dynamics.
- Commercial experience involving direct interaction with clients through presentations, seminars, or face-to-face meetings.
Work Arrangement
On-site — Menara Skymind
Team
Structure: Centralised Advanced Analytics team
Additional Information
- Role has a commercial element requiring direct client interaction.
