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Jobs in Milano, Itália

DATA ANALYST - COMMERCIAL STRATEGIC TRANSFORMATION

Allianz Italia

Milano
Presencial
EUR 40 000 - 55 000
Há 10 dias
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DATA ANALYST - COMMERCIAL STRATEGIC TRANSFORMATION
Allianz Italia
Milano
Presencial
EUR 40.000 - 55.000
Tempo integral
Há 10 dias

Resumo da oferta

A leading insurance company in Milan seeks a skilled professional to join their Commercial Strategic Transformation team. The role focuses on data management and process automation to improve portfolio performance. Candidates should have a Master’s degree in a relevant field and 3-4 years of experience in insurance or consulting with a strong emphasis on data analytics. Proficiency in Power BI, SQL, and fluent communication in Italian and English is essential. Join us in shaping the future of insurance.

Qualificações

  • Master’s degree in a related field.
  • 3-4 years of experience in Insurance or Consulting focused on Data Analytics.
  • Fluent in Italian and English.

Responsabilidades

  • Support data management and portfolio management.
  • Automate data extraction and reporting.
  • Monitor portfolio performance based on KPIs.

Conhecimentos

Data analytics
Problem-solving
Communication
Team spirit
Self-motivation
Fluency in Italian
Fluency in English

Formação académica

Master’s degree in Mathematics, Finance, or Statistics

Ferramentas

Power BI
SQL
SAS
MS Word
Excel
PowerPoint
Descrição da oferta de emprego

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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* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.

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