Join the dynamic Commercial Strategic Transformation team supporting the Mid Corporate department on data management, process automation and on providing the instruments to monitor and improve performance.
Key Responsibilities

Data collection and processing to support portfolio management
Automation of data extraction, analysis and reporting
Portfolio monitoring based on main KPIs and reporting to the management
Identify solutions for streamlining operations and reduce manual workload
Define technical requirements for IT implementation regarding database structure and underwriting tools improvement
Interact with other corporate functions on business needs

Key Requirements / Skills / Experience

Master’s degree in Mathematics, Finance, Statistics or equivalent
Experience (3-4 years) in Insurance / Consulting Firm with focus on Data Analytics
Good knowledge of Power BI and SQL or SAS
Proficient with MS Word, Excel and PowerPoint
Strong analytics, problem-solving and communication skills
Team spirit, self-motivation, and a proactive result-driven working style
Ability to interact with different stakeholders in a global work environment
Fluent in Italian and English (written and spoken)

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
At Allianz, we stand for unity : we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
Join us. Let’s care for tomorrow.
Both genders may apply in accordance with the L.
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