Data Ingestion & Quality Management Analyst

Generali Employee Benefits - GEB · Assago, Lombardia, Italia ·


Descrizione dell'offerta

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).


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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.


Main accountabilities (non-exhaustive list):

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


The above list is not limitative and may be amended/adapted at any time by the Employer, at its own discretion, in accordance with the business needs.



Desirable skills & competencies:

  • 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


Desirable qualifications & background:

  • 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



This recruitment deals with a permanent and full-time position, based in Assago (close to Milan, Italy).



Generali Employee Benefits’ commitment for recruiting

Generali Employee Benefits is committed to promote equal opportunities in employment. Candidates will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.

At Generali, we believe that it is our differences that make the difference. At the heart of everything we do, we value the fact that we are all human beings, unique in our own ways, bringing different cultures, lifestyles, mindsets, and preferences. Our commitment is to leverage this Diversity to create long-term value, to be innovative, sustainable, to make the difference for our people, our clients, our partners as well as our communities. We strive to promote a culture where D&I is embedded in how we work and do business every day. All of us around the world are taking actions every day to create an inclusive and accessible workplace, where every person feels empowered to take ownership, to challenge biases and lead the transformation with a human touch.


Generali Employee Benefits endeavours to contact candidates within 21 days of application. However, if you do not hear back after 3 weeks then please assume on this occasion, unfortunately, you have not been successful.


Personal data collected will be strictly used for recruitment purpose only. All unsuccessful applications will be destroyed max. 3 months after this recruitment campaign closing.

Candidatura e Ritorno (in fondo)