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Join the Pricing Data Engineering & Automation team within Allianz’s Global Pricing department. Collaborate with international stakeholders to deliver innovative data solutions supporting advanced pricing. Take ownership of data quality, provide insights for key stakeholders, and support global pricing activities.
Job Responsibility:
Drive best practices for data quality and root cause analysis across the team, and coach and mentor junior team members
Act as a bridge between data teams and other stakeholders, and advise leadership on data quality risks and critical improvements
Investigate and interpret data flows from pricing tools and booking systems, identifying and explaining issues and behaviors to Data Engineers and project team
Trace data sources, transformations and dependencies to pinpoint errors, inconsistencies and inefficiencies in pricing data assets
Build dashboards, reports and recommend automated checks to track data integrity, flag anomalies, and provide insights on data reliability to key stakeholders
Analyze data and work with team members in Pricing and Underwriting to configure mappings for ambiguous data attributes
Document and present on findings, including the creation of data dictionaries and visualizations for end-users to enable them to use datasets
Support end-users and collaborate with them to improve readiness of base datasets for modelling
Collaborate with Data Engineers, Pricing Actuaries and Predictive Modelers to deliver innovative data solutions for data-driven pricing
Develop knowledge of the company’s IT landscape, data and data systems
Contribute to a culture of results-driven collaboration, support and respect.
Requirements:
Minimum 8 years’ experience using SQL for data analysis, with at least 2 years experience in P&C insurance
A degree at BSc or MSc level in a Numerical field, preferably with a strong focus on Computer Science, or qualified by experience
Experience in gathering information from stakeholders to understand business workflows
Experience in analyzing, debugging and solving highly complex problems
Experience in coaching and mentoring team members of varying functions and levels in data quality and root cause analysis techniques
Experience using Power BI, Tableau, or similar tools for data visualization and anomaly detection
Knowledge of P&C insurance, ideally with some experience of working alongside Pricing teams
Experience taking ownership of own learning and development.
Nice to have:
Experience using PySpark
Some experience using cloud-based platforms for data analysis (e.g. Azure Synapse)
Some understanding of data engineering and machine learning project lifecycles
Fluent English skills, any other languages advantageous.
What we offer:
Access to counseling services, mental health resources, and well-being sessions
Personalized benefits packages via the Benefit platform, including comprehensive medical subscriptions, meal tickets, private pensions plans, life insurance, Allianz Tiriac insurance discounts
Time off for your birthday, extra days off for each year in Allianz (up to 5), days off for legal holidays that fall on weekends, and allowances to support life events
Extensive learning curriculum including technical and soft-skills trainings, international certifications, language skills improvement, and leadership programs
Performance-based rewards and recognition programs
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