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Commercial Data Application Manager
Job Description & How to Apply Below
About The Role
Job title:
Commercial Data Application Manager
#: 231505
Location:
Qatar - Doha
Job family:
Corporate & Commercial
Closing date: 18-Feb-2026
OverviewAs a Commercial Data Application Manager, you will oversee all aspects of visualization, data analysis, management, and governance. You will manage a team of analysts, in collaboration with engineers, working to develop advanced visualizations and analytics solutions to implement data‑driven insights across the organization. The ideal candidate should have experience in building insightful visualizations, leading teams, developing strategies, and working collaboratively with cross‑functional teams.
Key Responsibilities- Manage a team of analysts, in collaboration with data engineers to design, develop, and implement advanced visualizations and analytics solutions.
- Work with cross‑functional teams to understand business needs and identify opportunities to leverage data to drive business decisions.
- Effectively communicate with all stakeholders major updates and news concerning creation of new dataset, development of new dashboards, new analytical enhancements, system fault, etc.
- Effective Project Management by coordinating and communicating with all stakeholders involved in the usage of the visualization tool and making sure the tools developed satisfy stakeholders’ needs.
- Design and develop new analytical capabilities and models and enhance existing ones for the portfolio of competence in order to facilitate effective and efficient analysis.
- Manage requests and user stories for development of new dashboards and/or enhancing/changing existing ones in order to develop analytical tools that fully satisfy needs of all commercial stakeholders involved.
- Monitor industry trends and best practices to ensure the team is up‑to‑date with the latest analytical and data management techniques.
- Plan and develop effective training programs, both face‑to‑face and virtual targeting the whole commercial departments aiming at upgrade analytical and technical skills of the organization.
- Manage security access and licenses for visualization tools in coordination with IT in order to ensure proper data access in line with company security standards.
- Scale up the usage of visualization tool across the organization through ad‑hoc trainings and proper technical support bringing the whole commercial organization towards more advance analysis and business intelligence.
- Look at state‑of‑the‑art tools used in the industry and best practices in order to innovate, improve and advance analytical capabilities within the organization.
- Work closely with the Technical Team to ensure optimal performance of the analytical platform.
- Improve existing processes within the team and the organization which involves data and analytics tools.
- Establish the department or teams objectives and priorities to align with and support business objectives.
- Regularly evaluate the department or teams objectives, plans, procedures and practices, and make appropriate changes if needed.
- Oversee and supervise employees. Direct daily activities, recruit, train, develop and discipline to ensure a high standard of service delivery.
- Train and develop other employees, to ensure succession planning is in place.
- Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or related field.
- 7+ years of experience in data analysis, with 3+ years of experience in a management role.
- Experience managing and leading teams, and developing strategies for data analytics and management.
- Strong knowledge of visualization tools such as Tableau, Microsoft Power BI, and Qlik.
- Experience with Agile methodology.
- Strong written and verbal communication skills, with experience presenting to senior management.
- Demonstrated ability to build and foster cross‑functional relationships.
- Proven and adequate knowledge of analytic techniques and business analysis concepts. Adequate knowledge of business planning and strategy concepts and techniques.
- Strong qualitative and quantitative analysis skills.
- Highly developed skills with MS Office Suite (i.e. Excel, Outlook and PowerPoint).
- Ability to manage multiple priorities…
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