Senior Pricing Analyst

apartmentAllianz placeMadrid calendar_month2/5/26

Experteer Overview

In this role, you will leverage data to identify opportunities that enhance revenue and profitability for Allianz Partners Travel. You will design and implement analytics models, driving data-driven decisions across cross-functional teams in an international setting focused on Europe, with emphasis on the UK market.
You’ll develop methods and tools, mine large data sets, and partner with stakeholders to translate insights into business impact. This is a hands-on, analytical position suited for someone who enjoys solving complex problems and shaping pricing and performance.

You will work in a mission-driven environment that values rigorous analysis and clear communication to non-experts.

Compensaciones / Beneficios

Conduct analytics projects across the Travel line of business to improve revenue and profitability and report results to stakeholders
Build models and tools to optimize outcomes such as customer experience, revenue and profitability
Drive data collection and refine data sources
Perform data mining and processing on large data sets
Evaluate effectiveness of new tools and processes for best practices
Collaborate with internal departments on data analysis and reporting projects
Maintain reliable attendance as an essential function

Responsabilidades

University degree in statistics, mathematics, analytics, economics or other quantitative discipline
Min 8 years of experience solving analytical problems using quantitative methods, preferably in insurance
Experience with SQL, R, Python, JMP for data manipulation and insights on large data sets
Experience with insurance analytics software Emblem, Radar Base and Radar Live
Expert Excel; intermediate Word, PowerPoint, Outlook
Proficiency with BI tools such as PowerBI, Cognos, MicroStrategy or Tableau
Strong problem-solving abilities and data mining skills
Self-starter with ability to manage projects independently
Strong English communication skills (oral and written) for non-experts

Requisitos principales

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