Data Specialist

Data Governance Specialist

The Data Governance Specialist plays a key role in ensuring that GEB’s data is managed as a strategic asset, supporting regulatory compliance, operational excellence, and informed decision‑making.

Main accountabilities

• Further implement and maintain the Data Governance Principles across all production data, ensuring data is accessible, secure, and managed as a strategic asset.
• Define and maintain the Business Glossary, ensuring consistent terminology and taxonomy across Business Units and Legal Entities.
• Identify and classify Relevant Outputs (RO) and Significant Data (SD) in line with regulatory, strategic, and operational requirements.
• Support the documentation of conditions for manual data input and updates, ensuring traceability and auditability.
• Maintain and govern the Data Catalog, including metadata definitions, formats, and attributes.
• Develop and manage Data Lineage processes to track data flow across ICT systems, from generation to usage.
• Collaborate with IT to identify and monitor Key ICT Systems, especially those critical for business continuity and RO generation.
• Ensure data confidentiality classification according to Group taxonomy and lifecycle protection standards.
• Support compliance with Personal Data Protection and Integrated Data Quality System Group Policies.
• Facilitate workshops and training sessions to promote data governance awareness and adoption across the whole GEB organization.
• Undertake additional responsibilities and tasks reasonably aligned with the scope of this role, as required by evolving business needs.

Qualifications

• Strong understanding of data governance frameworks, principles, and lifecycle management.
• Experience with metadata management, data cataloguing, and lineage tools.
• Demonstrated technical affinity for data (architecture) and tooling, with proven ability to efficiently categorize, manage, and map data across complex environments.
• Ability to translate business needs into structured data governance processes.
• Excellent analytical and documentation skills, with attention to detail and auditability.
• Strong communication and stakeholder engagement skills across technical and non-technical audiences.
• Familiarity with regulatory compliance and data protection standards.
• Proactive mindset, high level of accountability, and ability to work independently.
• Comfortable working in a fast‑paced, international environment with evolving priorities.
• Master’s degree in data management, data governance, information systems, business, or a related field.
• Minimum 8 years of experience in data governance, data quality, or data management roles within an international environment.
• Experience with enterprise data platforms, data warehouses, and business intelligence systems.
• Knowledge of employee benefits, reinsurance, or financial services data is a plus.
• Certification in data governance or data management frameworks (e.g., DCAM, DAMA, CDMP) is desirable.
• Willingness to travel occasionally as required by business needs.
• Fluent in English, any other language would be considered an asset.

Data Warehouse Specialist

The Data Warehouse Specialist plays a key role in the Data Governance, Automation and Process Optimization team, supporting the design, development, and maintenance of scalable data infrastructure.

Main accountabilities

• Design and implement data extraction pipelines using GCP components such as Data Proc, Data Fusion, and Composer / Airflow.
• Develop and maintain DAGs for ETL processes and automate environment recreation using Google Cloud SDK and API scripting.
• Integrate Cloud Functions (Gen 1 & 2) and Secret Manager into data workflows for secure and scalable operations.
• Build and optimize Big Query datasets for enterprise reporting and analytics.
• Apply AEAD encryption and manage Data plex environments where applicable.
• Write and maintain advanced SQL queries and Shell scripts for data manipulation and automation.
• Support release management activities, including Cloud Build deployment processes.
• Collaborate with business analysts and stakeholders to understand data requirements and translate them into technical specifications.
• Ensure data quality, consistency, and security across all data warehouse environments.
• Document data models, processes, and architecture for internal use and compliance.
• Coordinate with testing teams to validate data components and ensure alignment with business expectations.
• Maintain up-to-date knowledge of emerging data technologies, warehousing standards, and best practices.
• Undertake additional responsibilities and tasks reasonably aligned with the scope of this role, as required by evolving business needs.

Qualifications

• Very solid hands‑on experience with Google Cloud Platform (GCP) components including Data Proc, Data Fusion, Composer, Cloud Functions, Big Query, and Secret Manager.
• Strong proficiency in Python scripting and SQL is a must.
• Solid understanding of data modelling, ETL design, and data warehouse architecture.
• Experience with Shell scripting and automation of cloud environments.
• Familiarity with release management and CI / CD pipelines (Cloud Build experience is a plus).
• Experience in encryption using AEAD and Data plex are considered a strong asset.
• Strong communication skills with the ability to explain technical concepts to non‑technical stakeholders.
• High level of autonomy and accountability.
• Self‑initiative, proactive mindset, and team‑oriented approach.
• Flexibility in working hours to accommodate global collaboration.
• Master’s degree in computer science, data engineering, information systems, or a related field.
• Minimum 6 years of experience in data warehousing or business intelligence roles within an international environment.
• Certification in Google Professional Cloud Data Engineer is highly desirable.
• Experience with employee benefits, reinsurance, or financial services data is a plus.
• Familiarity with data governance, compliance, and security best practices.
• Willingness to travel occasionally as required by business needs.
• Fluent in English, any other language would be considered an asset.

Data Ingestion & Quality Management Analyst

The Data Ingestion & Quality Management Analyst will be responsible for ensuring effective governance, management, and continuous improvement of reinsurance data flows from GEB Network Partners, focusing on operational data ingestion, quality validation, and automation of processes.

1. Data Ingestion and Quality Assurance

• Manage and oversee the ingestion of all data flows from Network Partners, ensuring timely, accurate, and efficient processing.
• Conduct thorough quality checks and validations to ensure accuracy and integrity of the reinsurance data.
• Identify discrepancies, errors, and areas of improvement, proactively addressing issues to maintain high standards of data quality.
• Cooperate with internal stakeholders to ensure timely and smooth data ingestion and keep aligned on progress and issues, and mitigation actions.

2. Continuous Improvement and Automation

• Collaborate closely with IT teams to develop, implement, and maintain automated solutions for data ingestion and quality validation processes.
• Actively participate in process review sessions, providing insights and identifying opportunities to reduce manual tasks through digitization and automation.
• Contribute to defining requirements for enhancements to current data ingestion platforms and tools, ensuring alignment with operational objectives.
• Drive initiatives aimed at optimizing operational efficiency through continuous feedback and active cooperation with IT stakeholders.

3. Network Partner Support

• Serve as a primary point of contact for Network Partners regarding data ingestion requirements, processes, system access, and technical support.
• Facilitate effective communication and collaboration between Network Partners and internal teams to ensure smooth and efficient data exchange processes.

4. Other Related Duties

• Support internal and external audits related to reinsurance data processes and quality standards.
• Assist in developing internal tools aimed at streamlining departmental workflows and enhancing operational effectiveness.

Qualifications

• Strong computer literacy, particularly in Data Ingestion and Data analysis tools.
• Proactive mindset, capable of identifying improvement opportunities and driving automation initiatives.
• Detail‑oriented, with strong organizational skills and resilience in managing operational deadlines.
• Excellent interpersonal and communication skills, capable of effectively liaising with both technical (IT) and non‑technical stakeholders.
• 4 years of experience in data management, data ingestion processes, or quality assurance.
• Experience collaborating with IT teams on automation projects or operational enhancements.
Bachelor’s or Master’s degree in insurance, Business Administration, Information Systems, Mathematics, or related fields.
• Willingness to travel occasionally as required by business needs.
• Fluent in English, any other language would be considered an asset.

Retail Data Analysis Intern

We are seeking a dynamic and result‑driven Retail Data Analysis Intern to join our team. The ideal candidate will be responsible for regional retail data and business analysis by supporting retail team in collecting and organizing various reports and materials, managing data dashboard setup and system maintenance to achieve final target.

Responsibilities

• Responsible for regional retail data and business analysis, updates, maintenance, and management.
• Responsible for the setup and maintenance of regional retail data dashboards, and the output of retail data standards and templates.
• Liaise with retail IT and maintain / refresh systems.
• Collect, compile, and organize project weekly reports, monthly reports, KPIs, project progress reports, and other various materials.

Qualification

• Proficient in using Office, especially Excel and other daily office software, with a strong sensitivity to data and excellent data and spreadsheet processing skills.
• Proficient in English communication, can be used as a working language.
• Over 3 years of experience in data analysis.
• Diligent, steady, meticulous, and careful in work, striving for accuracy.
• Optimistic and cheerful, with good communication and coordination skills, a strong sense of professionalism, and team spirit.

Benefits

• Great opportunities to make the role your own.
• Fast‑paced environment and great team spirit.
• Private medical insurance provided.

Data Science Business Translator – Senior Analyst / Specialist

Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world. We seek talented and motivated professionals with a passion for data science and a drive for innovation to join our Data Science team as Business Translator – Senior Analyst / Specialist.

Role and Responsibilities

• Gather and analyze business requirements, ensuring a clear understanding of organizational goals and challenges to guide the design of AI solutions.
• Collaborate with data scientists and machine learning engineers to develop AI prototypes and applications, focusing on data understanding, cleaning, and integrating the prototype into business processes.
• Manage and coordinate complex projects, ensuring timely delivery and alignment with objectives.
• Translate complex technical findings into clear, actionable insights for both technical and non‑technical stakeholders.
• Coordinate project activities effectively with internal and external clients.
• Create compelling value propositions and related business cases.

Education and Experience

• Required: Master’s degree in Economics, Engineering, Mathematics, Statistics, Physics, or another quantitative discipline.
• At least 3‑5 years of professional experience, ideally in the financial or insurance sector.
• Comprehensive understanding of machine learning fundamentals and key algorithms (clustering, classification, regression).
• Demonstrated experience in creating high‑quality presentations and documents tailored to diverse audiences.
• General knowledge in at least one data analysis programming language (e.g., Python, R, Matlab).
• Familiarity with key trends and topics in the banking and insurance sector.
• Preferred experience in a consultancy company.
• Familiarity with data governance, compliance, and security best practices.
• Willingness to travel occasionally as required by business needs.
• Proficiency in English; other languages are an asset.

Soft Skills

• Problem‑solver with a strong analytical mindset.
• Exceptional communication skills and meticulous attention to detail.
• Team player with excellent communication and collaboration skills.
• Passionate about process innovation and driven by curiosity to understand and optimize business processes.

What We Offer

Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it ‘Total Compensation’ and is made up of a fixed and a variable component, an important Welfare Plan, active since 2015, and Benefits, which include all the initiatives undertaken for the well‑being of our people.

Remote Working

Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work / life balance, impact on the environment and optimization of company results, through autonomy and empowerment of people.

People Program

Our evaluation system is based on the full enhancement of people and their continuous dialogue as a stimulus for regular, mutual professional and personal growth. Transparent discussions between managers and team members are set up within the projects, where reciprocal and timely feedback is exchanged. The process is fully digitalised and aimed at continuously improving the development trajectory of the individual and the company.

Training

Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal processes.

Location

Location details not provided.