To form strong links between different parts of the organization and drive capability excellence as well as organizational OKR’s by building innovative data solutions
Requirements
- University degree, preferably in a data analysis related field e.g. statistics, economics, financial analysis or mathematics or similar
- Proficiency in Excel
- Good working knowledge of SQL and relational data structures or Python and Pandas is highly desirable
- Experience with visualization tools like Tableau or Power BI would be advantageous
- Experience in financial services and preferably in equity research is highly desirable
Responsibilities
- Work closely with a global team of researchers, data engineers, and business analysts on building innovative data solutions
- Translate business requirements into project plans
- Design solutions, own specifications used for development and ensure sound execution
- Transform structured and unstructured big data into actionable insights
- Develop, maintain, and enhance high-quality data assets built from various sources
- Implement quality assurance and data quality checks to ensure the completeness, validity, consistency and integrity of data as it flows through the pipeline
Other
- University degree, preferably in a data analysis related field
- Ability to communicate with diverse audiences ranging from highly technical colleagues to senior stakeholders
- Excellent organizational, presentation and time management skills
- Ability to balance multiple projects and priorities