Senior Pricing Analyst

Important: please apply with a CV in English; applications in any other language will not be considered.

The Senior Pricing Analyst supports Allianz Partners Travel line of business through insights gained from analyzing company data. This person is adept at using data to find opportunities for improving business performance and using models to test the effectiveness of different courses of action. 

Key job responsibilities include data mining, development of analysis methods and tools, and building/implementing new analytics models. Has a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Must be comfortable working with a wide range of stakeholders and functional teams. 

The position is a part of international team, responsible for markets in Europe, with strong focus on UK market. 

Responsibilities:  

• Conducts analysis projects across Travel line of business targeted at improving company revenue and profitability, and communicates the results of those analyses to internal stakeholders. 

• Builds models and tools to improve and optimize business outcomes, including but not limited to customer experience, revenue and profitability. 

• Drives the collection of new data and the refinement of existing data sources. 

• Performs data mining and processing to prepare analysis on large data sets. 

• Assesses the effectiveness and accuracy of new business tools, techniques and processes for incorporation into company and department best practices. 

• Partners with internal departments on projects where data analysis and reporting expertise is necessary. 

• Regular, predictable, reliable attendance is an essential function of this position. 

Key Requirements: 

• University degree (3/5 years) in statistics, mathematics, analytics, economics or other quantitative discipline 

• Min 8 years of experience solving analytical problems using quantitative approaches, preferably in insurance industry 

• Experience using statistical computer languages and packages (such as SQL, R, Python, JMP) to manipulate data and draw insights from large data sets 

• Experience using insurance analytics software Emblem, Radar Base and Radar Live 

• Expert level proficiency with Excel; intermediate level proficiency with Microsoft Word, PowerPoint and Outlook 

• Proficiency with one or more business intelligence tools such as PowerBI, Cognos, MicroStrategy, or Tableau  

• Strong problem solving abilities, including demonstrated tenacity at mining data to discover root causes of results 

• Self-starter with ability to manage projects independently in order to deliver the best possible experience to internal and external clients 

• Ability to handle fast-paced professional office environment and foster excitement around an analytical business culture 

• Strong oral and written communication skills in English, including ability to translate complex analysis and concepts for non-experts 

How we hire

We hire directly. Allianz Partners does not accept unsolicited CV’s or approaches from agencies. We only work with partners on our approved supplier list, under contract. Any unsolicited submission will not be considered.

97636 | Actuarial | Professional | Non-Executive | Allianz Partners | 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.