***** Vedano Al Lambro, Lombardia Generali Employee Benefits - GEB
Generali is one of the largest global insurance and asset management providers.
Established in ****, it is present in 50 countries in the world the Generali Group is one of the most significant players in the global insurance and the asset management industry.
Generali supports each firm to innovate and grow with full investment autonomy ensuring they are set up to develop sustainable and innovative solutions.
With the stability of Generali Group backing, the platform enables investors to access distinctive strategies and experts' insights.
GEB is a global Employee Benefits platform that helps Multinational Corporates succeed by protecting and enhancing the physical, emotional & financial wellbeing of their human capital.
Driven by customer service, innovation, and operational excellence, GEB is built on an ecosystem of partnerships to support clients on their Environmental, Social & Governance journey.
Its presence is truly global (127 countries) and reliable thanks to 136 trusted local Network Partners, who enable the provision of focused expertise and support to 298 Lifecycle Pooling coordinated multinational programmes, 324 other global solutions and 62 Captive programmes, with a premium volume of €***** billion (YE **** figures).
For more information, please visit our website
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.
This role is responsible for implementing and maintaining data governance frameworks, including business glossaries, data catalogues, and lineage tracking, while ensuring alignment with internal GEB business experts and stakeholders, Group policies and local entity requirements.
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 and embed data governance thinking and ownership across 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.
This role focuses on building robust data pipelines, optimizing data flows, and enabling secure, efficient access to enterprise data for analytics and reporting.
The Specialist will collaborate with cross-functional teams to ensure data integrity, automation, and compliance across GEB's cloud-based data ecosystem.
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
Minimal 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 primarily 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
Junior Data Privacy Specialist
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Data Management Professional
Data Management Professional - Legal COO
Sistema premiante.
Retail Data Analysis Intern
About HONOR: HONOR is a leading global provider of smart devices.
It is dedicated to becoming a global iconic technology brand and creating a new intelligent world for everyone through its powerful products and services.
With an unwavering focus on R&D;, it is committed to developing technology that empowers people around the globe to go beyond, giving them the freedom to achieve and do more.
Offering a range of high-quality smartphones, tablets, laptops, and wearables to suit every budget, HONOR's portfolio of innovative, premium, and reliable products enables people to become the better version of themselves.
Position: 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
At HONOR, we celebrate diversity & Inclusion and are committed to build teams that represent a variety of backgrounds, perspectives, and skills.
Please send you CV in English to
Data Science Business Translator – Senior Analyst/Specialist
Data Science Business Translator – Senior Analyst/Specialist.
Are you curious, do you want to get involved, become part of a dynamic company and have the opportunity to innovate with your work and skills?
Prometeia offers you opportunities for growth and training in a Group with over **** professionals working for more than 500 clients in 20 countries around the world.
Prometeia is seeking for 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, contributing to transformative projects in the banking and insurance sectors.
Role and Responsibilities
As a Business Translator, you will:
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 skills:
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 Skills:
Familiarity with version control systems (e.g., Git).
Experience in building business cases and evaluating project cost/benefit.
Preferred experience in a consultancy company.
Familiarity with data governance, compliance, and security best practices.
Willingness to travel occasionally as required by business needs.
Soft Skills
A problem-solver with a strong analytical mindset.
Exceptional communication skills and meticulous attention to detail.
A team player with excellent communication and collaboration skills.
Passionate about process innovation and driven by curiosity to understand and optimize business processes.
Location
Location details not provided.
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 Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since **** – we have been among the first to introduce it in Italy - 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 digitalized 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