Accountabilities: 1. Data Strategy and Management:
Develop and execute a comprehensive data strategy aligned with the organization\'s goals and objectives.
Define data governance policies and ensure compliance with data privacy regulations.
Establish data quality standards and implement procedures for data cleansing and enrichment.
Manage the acquisition, integration, and storage of large volumes of structured and unstructured data.
2. Big Data Analytics:
Lead the design and implementation of scalable big data analytics solutions, leveraging cutting-edge technologies.
Identify and assess relevant data sources, both internal and external, to extract valuable insights.
Apply advanced analytics techniques, such as predictive modeling and machine learning, to uncover patterns and trends within the data.
Collaborate with cross-functional teams to develop data-driven solutions that drive business growth and operational efficiency.
3. Team Leadership:
Build and lead a high-performing data and analytics team, fostering a culture of innovation, collaboration, and continuous learning.
Provide guidance, mentorship, and professional development opportunities to team members.
Set clear goals and performance expectations, ensuring the team\'s success in delivering on key projects and objectives.
4. Stakeholder Management:
Partner with senior executives and department leaders to understand their data and analytics needs.
Translate business requirements into data-driven solutions and actionable insights.
Present findings and recommendations to stakeholders in a clear and concise manner, enabling informed decision-making.
5. Technology Evaluation and Implementation:
Stay abreast of emerging trends and advancements in big data technologies, analytics tools, and data management practices.
Evaluate and select appropriate technologies and platforms to support data analytics initiatives.
Collaborate with IT teams to ensure the successful implementation and integration of data-related systems.
6. Problem Solving & Analytical thinking:
The role holder will identify and resolve problems pertaining to day-to-day issues, such as obtaining sufficient resource support from other departments and compelling senior management to make decisions in a timely fashion,
Utilize technical skills for data analysis and optimization: The expert leverages their technical skills in various analytics techniques such as data management, machine learning, predictive modelling, time-series forecasting, and optimization.
These skills enable them to analyse market trends, customer behaviour, and optimize strategies for maximum impact and business success.
Qualifications, experience, skills and competencies
Qualifications:
Bachelor\'s or Master\'s degree in a relevant field (e.g., Computer Science, Data Science, Statistics).
Experience:
Proven experience (8+ years) in leading data and analytics functions, preferably in a big data environment.
Strong knowledge and expertise in big data technologies (e.g., Hadoop, Spark, NoSQL databases) and cloud-based data platforms.
Proficient in advanced analytics techniques, such as predictive modeling, machine learning, and data visualization.
Familiarity with data governance frameworks and data privacy regulations (e.g., GDPR, CCPA).
Excellent leadership and team management skills, with a track record of building and developing high-performing teams.
Strong business acumen and the ability to translate business requirements into data-driven solutions.
Excellent communication and presentation skills, with the ability to effectively convey complex concepts to non-technical stakeholders.
Good written and verbal communication skills are a requirement.
Excels at delivering results in a fast-paced, ambiguous environment.
Fluent in English, Arabic is a plus.
Skills:
Strong communication and interpersonal skills. Especially the ability to work cross-departments to achieve results
Be a team player and a respected leader
Run efficient and effective meetings
Communicate clear decisions, next steps, and accountability
Have good presentation skills
Strong attention to detail
Have the ability to think big, delivering innovative strategic solutions
Budget management skills
Competencies:
Think strategically (Level 3 of 5)
Achieve tangible results (Level 3 of 5)
Lead breakthrough change (Level 3 of 5)
Exceed customer expectations (Level 3 of 5)
Nurture, Inspire and Motivate (Level 3 of 5)
Target win-win outcomes (Level 3 of 5)
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