Job Title: Data Analytics Engineer
Location: Nicosia
Type of Employment: Permanent
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!
Key Responsibilities:
- 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.
Academic / Professional Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Data Science 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.
- 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
Deadline: 31/01/2025
Key Benefits:
- Competitive salary.
- Medical insurance.
- Provident fund (current contribution 9%)
- Life insurance.
- Ongoing opportunities for personal and professional development
How to apply:
- 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
- Candidates who have already created a profile in our recruitment platform and are interested in the specific position, need to apply for the position provided that they meet the criteria set.
- Only shortlisted candidates will be contacted.
- All applications will be treated with strict confidentiality.