Data Analytics Engineer (Κωδ. 725)

We are thrilled to announce a new position for a Data Analytics Engineer at Bank of Cyprus! Our vision is to be a data driven organization, leveraging analytics and AI technologies across a wide spectrum of areas, from enhancing operational efficiencies to revolutionizing customer experience and services.

As a Data Analytics Engineer, you will be part of an agile team that promotes business analytics and addresses all aspects of AI adoption. You will work hands-on with the latest cloud technologies, including GenAI and Computer Vision, to bring innovative solutions to life.

We are looking for a technically proficient candidate with proven knowledge in the latest AI technologies. You should be versatile, able to work with different technologies as required by various use-cases, and excited to contribute to actual implementation and any task needed to materialize value.

Join us in shaping the future of banking with cutting-edge analytics and AI solutions!

More information

    • Participate in all aspects of the business analytics and reporting activities to meet business requirements, generating insightful reports and interactive dashboards.
    • 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.
    • Develop and deploy statistical and machine learning models to derive insights and solve problems, communicating findings with related data visualizations.
    • Develop Python based applications, utilizing effectively cloud services for delivering scalable data driven solutions.
    • 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.
    • Bachelor’s degree in Computer Science, Information Technology, Data Science or related fields.
    • 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.
    • Excellent knowledge of Relational Databases, Data Modelling and SQL and ability to extract, clean and analyze data to derive valuable insights.
    • Proficiency in Python.
    • 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 data visualization and reporting tools like Business Objects, Power BI and SSRS can be considered an advantage.
    • Knowledge of Big Data technologies like Hadoop, MongoDB, Splunk or Elastic Search 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
    • Competitive salary.
    • Medical insurance.
    • Provident fund (current contribution 9%)
    • Life insurance.
    • Ongoing opportunities for personal and professional development
    • Sign in or Create an account in our 'e-recruitment System' and complete your profile 
    • From the ‘Candidate Profile’ section, click on the following:
      • BoC Logo or link
      • Job Search
      • Search Jobs
      • Click on the job vacancy you are interested in
      • Apply
      • Scroll down the page and click on ‘Apply’ again.

Additional Notes

1) Type of Employment: Permanent

2) Candidates who have already created a profile in our recruitment system and are interested in the specific position, need to apply for the position provided that they meet the criteria set.

3) Only shortlisted candidates will be contacted.

4) All applications will be treated with strict confidentiality.