Are you a talented Data Specialist looking for your next career move? We are seeking to recruit a Data Analytics Engineer to join our team of professionals. You will have the opportunity to use your skills and experience to work on a variety of exciting projects, playing a key role in the Digital Transformation journey of the Bank. You will participate in all aspects of the business analytics and reporting day to day activities to meet business requirements. You will work closely with Architects, Engineers, Business Users, other teams or vendors and act as the subject matter expert for products under your area of responsibility. You will ideally have previous professional experience, however, if you are a new graduate you are encouraged to apply if you have the technical skills.

Key Responsibilities:

• Participate in all aspects of the business analytics and reporting day-to-day activities to meet business requirements.
• Analyse requirements and design, develop, generate and publish required data views and data pipelines, utilizing the Bank's tools and following related policies and standards.
• Identify and promote opportunities for data utilization efficiency.
• Work with database administrators and data warehouse engineers to ensure that databases feeding the reporting platforms are tuned for optimal performance.
• Develop and deploy statistical and machine learning models in order to derive insights and solve problems, communicating findings with related data visualizations.
• Provide support to power users on the analytics and reporting tools and ensure best practices are applied.
• Execute any other activities assigned to him/her, that falls within and are relevant to his/her area of responsibility.

Academic / Professional Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Mathematics, Statistics or related fields.

Professional Experience / Skills:

• Ideally 2+ years of experience working in Data Analytics, as Data Analytics Engineer or similar role, however, new graduates are also encouraged to apply.
• Understanding of the Agile Framework can be considered an advantage.
• Knowledge of Relational Databases, Data Modelling and SQL and ability to extract, clean and analyze data to derive valuable insights.
• A strong command of programming languages such as Python or R.
• Knowledge in analytics techniques related to data mining, machine learning and predictive modelling.
• Knowledge of cloud offered AI services from platforms like MS Azure can be considered an advantage.
• Knowledge of Big Data technologies like Hadoop, MongoDB, Splunk or Elastic Search can be considered an advantage.
• Use of data visualization and reporting tools like Business Objects, Power BI and SSRS can be considered an advantage.
• Structure Analytical and Critical Thinking
• Very good interpersonal skills
• Ability to manage time, multiple tasks and work under pressure
• Ability to take initiatives and make decisions
• Problem-Solving Skills
• Ability to work well within a team.
• Excellent written and verbal communication in both Greek & English

Deadline: 15/05/2024

Key Benefits:

• Competitive salary.
• Medical insurance.
• Provident fund (current contribution 9%)
• Life insurance.
• Ongoing opportunities for personal and professional development

How to apply

All applications will be received through the “e-Recruitment” system which is available on the Bank’s website www.bankofcyprus.com/group/ (Careers)

Additional Notes

• Candidates who are interested in the specific position and have expressed their interest for employment in Bank of Cyprus in the past through the e-Recruitment system, are required to submit a new application (provided that they meet the criteria set).
• Only shortlisted candidates will be contacted.
• All applications will be treated with strict confidence.