PERFORMANCE STEERING SPECIALIST - INSURANCE

Allianz Italia; Trieste/Trst; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading insurance company is seeking a professional in Trieste for a full-time role focused on performance steering and data analysis. Candidates should have a Master’s degree in a quantitative field and 3-5 years of relevant experience. Key responsibilities include supporting data analysis processes and implementing business intelligence tools. Strong skills in programming and excellent communication are essential for success in this role.

Competenze

• 3-5 years of experience in similar roles.
• Experience in the insurance industry is advantageous.
• Ability to solve complex analytical problems.

Mansioni

• Support data ingestion, transformation, and cleaning procedures.
• Implement and enhance dashboards for portfolio steering.
• Conduct in-depth analysis of performance figures.

Conoscenze

Strong mathematical knowledge

Statistical analysis skills

Proficiency in Python

Proficiency in R

Proficiency in Power BI

Excellent communication skills

Attention to detail

Team player

Fluent in Italian

Fluent in English

Formazione

Master's Degree in quantitative subjects

Strumenti

Database technologies

Descrizione del lavoro

Job Purpose/Role

The Commercial & Claims Performance Steering office was established in 2024 with the mission of designing a new management control model for Allianz P/C commercial business and claims. The team leverages diverse experiences gained across various areas of the company, consistently characterized by analytical data analysis activities, to drive innovation and excellence.

Key Responsibilities

• Support data ingestion, transformation, cleaning and exploration procedures
• Implement and enhance dashboards and business intelligence tools to support portfolio steering
• Conduct in-depth analysis of performance figures, exploring business phenomena in both underwriting and claims
• Summarize, design, and present results effectively to various stakeholders

Education / Experience / Key Skills

• Master's Degree in quantitative subjects (e.g., Actuarial Sciences, Economics, Engineering, Mathematics, Physics, Statistics)
• 3-5 years of experience in similar roles/topics
• Previous experience in the insurance industry would be advantageous
• Strong mathematical and statistical knowledge, with the ability to solve complex analytical problems
• Proficiency in programming with high-level and scripting languages (Python, R, Power BI, etc.)
• Experience in handling and analyzing large data sets, including database technologies
• Excellent communication and presentation skills
• Self-motivated and committed working style
• Positive curiosity to understand the drivers behind the numbers
• Accuracy and attention to details
• Strong team player.
• Fluent in Italian and English, both written and spoken

Location: Milan/Trieste

83131 | Product Management | Professional | Allianz Italy | Full-Time | Permanent

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. 903/77 (s.m.i).