Enterprise Analytics Section Manager

# One Group | One Power

ELPEDISON is the first independent energy utility in Greece, and a leader in providing outstanding and innovative energy solutions. We operate with enthusiasm in what we do and we pride ourselves of offering our employees a place where they can excel, creating value. We are offering now a set of exciting positions in our headquarters in Athens, to incite our new digital transformation program. If you are skilled in data management, data science, advanced analytics, technology project management, or related fields, this can be a big opportunity for YOUR career.

ELPEDISON, with its two privately-owned power plants in Thisvi (Voiotia) and Thessaloniki, with a total installed capacity of 820 MW, uses natural gas as fuel and ensures a clean and continuous electricity flow, based on a highly environmentally-friendly power generation process.

We are currently looking for an Enterprise Analytics Section Manager to provide end-to-end analytics services to business units, from the identification of data analyses needs to the delivery of data analytics solutions, enhancing data-driven decision-making. In this role you will identify valuable information and data within business processes and systems, explore the potential for further analyses and optimization of business processes, coordinate with business units the implementation of relevant applications.

What will you do:

• 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.

What you need to be successful:

• 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.

Our offer to you:

• 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

Elpedison S.A. will keep your personal information for a period of 2 years from the submission date, after which we will delete your personal data. Elpedison S.A. has the right to transfer your personal information to third parties to whom it has assigned services, which require the collection and processing of such personal data for candidate evaluation in the process of personnel selection.

For more information regarding the processing of your personal information and exercising your rights, please read the Notice to Candidate Employees.