Enterprise Analytics Section Manager

Responsibilities:

• Propose and introduce disciplines and technologies for solving business problems using multiple methods of analyses, modelling and optimisation for the methodical exploration of organisation's data, to drive efficient decision-making and automations.
• Introduce and update standards for analytics projects; builds and maintains a basis of re-usable analytics-components.
• Work with business stakeholders to define analysis, reporting, automation, and other requirements.
• Support the analyses teams in business units to develop their skills, and cooperates with them to serve business needs.
• Assure knowledge transfer and standardisation across the organization, regarding analytics and implementation methodologies.
• Lead the continuous efforts to improve the processes related to the use of data to build business insight, hindsight and foresight through analytics, and enhance analytical thinking across the organization.
• Create and continuously improve analytics solutions, to support operational decision-making (front), strategic decision-making (business development), operational performance, automations, and customer experience. Develops statistical and optimization models, integrated within end-to-end applications; explores and utilizes the potential of ML & AI in generic business problems.
• Participate in the analysis of operational and technical requirements in data management matters.
• Coordinate technical and operational teams for the effective implementation of data management and analysis solutions.
• Manage the Enterprise Analytics Section to achieve the agreed goals.

Requirements

• A BSc in Computer Science/Information Technology, Mathematics, Applied Mathematics, Engineering, Economics or relevant field.
• An MSc in the above fields or an MBA.
• At least 8 years of experience in Data Science, Statistical analysis, Optimizations Modelling, Machine Learning, or relevant analytics role.
• Prior experience in the energy sector will be considered an asset.
• Ability to collect, analyze, and interpret complex data sets to uncover trends, insights and identify areas of opportunity.
• Proven record of accomplishment in identifying and solving complex problems using data-driven approaches.
• Experience in designing, building, testing, and validating highly customized models using statistical and other quantitative techniques, as well as optimization techniques.
• Good understanding of machine learning techniques such as predictive modeling, binary classification, cluster analysis, NLP.
• Very good understanding of business operations and the needs of business users to help them make informed decisions.
• Strong critical thinking and problem-solving skills, with the ability to develop and evaluate multiple solutions to a problem.
• Strong attention to detail, ensuring accuracy and completeness of deliverables.
• Ability to work collaboratively with teams across the organization, and build strong relationships with stakeholders.
• Advanced MS Office knowledge
• Good command of Project management & Collaboration tools
• Programming knowledge (e.g. SQL, R, Python, C# or other)
• Ability to operate & manage, subject to broad practices and procedures and managerial direction, with a degree of independence to achieve the agreed targets.
• Experience in leading agile creative teams which operationalize the use of data, to efficiently deliver solutions which are actually used by business users.
• Strong business acumen and ability to understand business needs and translate them into data-driven solutions. Contributing to long term functional and business strategy, taking accountability on the achievement of annual objectives.
• Continuous learning and desire to stay up to date with the latest technologies and trends in the field.
• Flexibility and adaptability to changing project requirements and priorities.
• Attention to detail and accuracy in work
• Excellent communication and presentation skills to convey technical concepts to non-technical stakeholders.

Benefits

• Competitive salary
• Performance-based variable pay
• Ticket restaurant card
• Transportation reimbursement
• Private Health Insurance coverage
• Pension Scheme
• Home electricity and natural gas discount
• Continuous learning & upskilling opportunities and access to our premium online training platform
• One extra day of paid time off
• Reimbursement for your athletic activities
• Unlimited fruits and snacks at the office