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Senior Data Analytics Manager

2 months ago

Dubai, Dubai, United Arab Emirates Transmed Full time
About the Role

The Data Science and Advanced Analytics Manager is a critical position at Transmed, responsible for leading high-value data initiatives and enhancing the capabilities of the Data Science team. This role involves analyzing complex data, developing predictive models, and leveraging AI to drive business decisions.

Key Responsibilities
  • Lead Data Science and Advanced Analytics Services: Deliver high-value projects and activities that provide actionable insights for strategic decision making, productivity, and efficiency.
  • Engage with Stakeholders: Collaborate with internal business, external stakeholders, and subject matter experts to deliver tangible value that aligns with the business strategic objectives through the exploitation of datasets, insights, techniques, digital capabilities, and automation.
  • Work with Senior Leaders: Partner with senior leaders, business community, customers, suppliers, and strategic partners to deliver projects and activities in line with the business requirements and priorities.
  • Communicate Complex Data Insights: Deliver maximum value and impact of data through compelling, clear, and actionable storytelling relevant to business goals and objectives.
  • Lead Data Science and Advanced Analytics Team: Lead a high-performing Data Science and Advanced Analytics team, including recruitment, mentorship, and continued development. Set clear goals and expectations, celebrate success, and encourage learning and growth.
  • Promote Innovation and Experimentation: Foster a culture of innovation, experimentation, idea generation, and actionable creativity within the Data Science and Advanced Analytics team and beyond.
  • Stay Up-to-Date with Emerging Trends: Commit to continued self-learning and professional development, staying up-to-date with emerging trends and technologies in data science.
Requirements
  • Education: Bachelor's degree in information technology, Computer Science, Applied Mathematics focusing on Analysis, High Performance Computing, Operations Research, Engineering, or quantitative or related discipline.
  • Desirable Qualifications: Master's in computer science, Computer Engineering, or related field; certification and/or proficiency in databases, statistical models, and programming languages such as Python, and database query languages like SQL; certification, working knowledge, and/or familiarity with cloud computing platforms such as Azure or AWS.
  • Experience: 6+ years of progressive business technology experience with statistical modeling and data visualization; 4+ years of people leadership experience in building, managing, and developing high-performing teams.