Data Specialist

Bearit Srl; Monza; In loco; EUR 60.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading multinational firm in Italy is seeking a Data Governance Specialist responsible for ensuring data is managed as a strategic asset. This role involves implementing governance frameworks, maintaining business glossaries and data catalogs, and collaborating with stakeholders for compliance. The ideal candidate has a Master’s degree, at least 8 years of experience, and strong analytical and communication skills. Competitive benefits and opportunities for travel included.

Servizi

Ticket Restaurant

CCNL ANIA

Competenze

• Minimum 8 years of experience in data governance or data management roles.
• Ability to translate business needs into structured data governance processes.
• Comfortable working in a fast-paced, international environment.

Mansioni

• Implement and maintain data governance frameworks.
• Define and maintain the Business Glossary.
• Maintain and govern the Data Catalog.

Conoscenze

Strong understanding of data governance frameworks

Experience with metadata management

Excellent analytical skills

Strong communication skills

Proactive mindset

Formazione

Master’s degree in data management or related field

Descrizione del lavoro

20057 Vedano Al Lambro, Lombardia Generali Employee Benefits - GEB

Generali is one of the largest global insurance and asset management providers. Established in 1831, 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 €1.643 billion (YE 2024 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

Requisiti:

• Ticket Restaurant
• CCNL ANIA

Cosa ti offriamo:

• Ticket Restaurant
• CCNL ANIA

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 1000 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 2015 – 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 transfer of know-how and skills. On-the-job training is also important, through immediate and direct confrontation with the market.

WIN/WIN POLICY

If you are one of our employees, and you recommend a person who is later recruited, you are entitled to a financial bonus! This is an important opportunity to contribute to the growth of Prometeia as a whole, by attracting acknowledged market professionals and new tech talents.

Through the dedicated app Pr(Home)teia

We have completely digitalized and integrated the management of our physical and virtual environments. Access to the office, smart working, workstations, meeting rooms, car pooling. everything is just a click away.

COMMUNITY

Our Community is extremely diverse, as are the skills of the people who are part of it and who share its values, and the individuals and organizations that are directly or indirectly involved in our activities. Clients, People of the Group, Alumni, Institutions, Academia, non-profit entities with which we actively collaborate, are stakeholders representing a great value for us, in terms of trust and collaboration.

DIVERSITY

We promote and respect equal opportunities and consider differences as a value. Diversity & Inclusion are fundamental values: from the selection phase to everyday life, also through dedicated training moments to develop individual sensitivities and unicities.

IMPACT

We responsibly take an active role towards the environment, the territories and the communities in which we operate. Our Headquarter in Bologna has obtained the Leed Gold Certification, one of the highest awards that recognizes the performance of the building in terms of energy and water savings, reduction of CO₂ emissions, improvement of the ecological quality of the interior, materials and resources used. In the Sustainability Report we report the results achieved within the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda that, drafted by the United Nations in 2016, we have been supporting since 2020.