Data Analyst #[JD 108]
Doha Qatar
Full Time Experience : 3-4 YearsSkill required
Required Skills
- High level of integrity and reliability with a strong sense of urgency and results oriented
- Ability to work with high-volume and complex datasets
- Strong interpersonal skills, ability to communicate and manage well at all levels of the organization
- Outstanding presentation skills
Job Purpose
The Data Analyst role will be central to the development and maintenance of QSL’s new centralized application and overall performance data ecosystem. The position will support high‑volume data analysis, reporting, backend processes, and coordination with QSL’s data provider.
Responsibilities and job role
Key Responsibilities:
Core Responsibilities
- Maintain and further develop the new centralized application, with a strong focus on backend processes
- Manage and improve the overall data ecosystem and workflows
- Build, enhance, and maintain reports and dashboards for multiple departments
- Act as the main liaison between QSL and the local staff of the data provider
- Ensure smooth data treatment, integration, and delivery for high‑volume data analysis
- Automate processes to improve efficiency in data handling and reporting
Operational Responsibilities
- Manage workflows related to data treatment and API integration with the centralized application
- Maintain data accuracy and timely updates with data partners
- Support live match recording video workflows for analysis purposes
- Process and analyze player performance and football-related data
Qualifications & Experience
Qualifications:
- Holds a bachelor's degree in one of the following: (Data Science, Computer Science, Software Engineering, Information Systems, Statistics / Applied Mathematics, Data Engineering or related quantitative field)
Knowledge and experience:
- Strong proficiency in Python (backend development and automation)
- Experience with Power BI and/or Tableau for reporting and dashboard development
- Solid backend development experience
- Experience with API integration and data workflows
- Cloud computing experience is required
- GCP experience is highly preferred
- Experience in data modeling, preferably within a sports or football data environment
- Demonstrative experience of working to deadlines
- Prior experience in football or sports data analytics is a strong advantage