Senior Data Analyst - Pricing Data Engineering & Automation, CUO Global Pricing

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Senior Data Analyst - Pricing Data Engineering & Automation, CUO Global Pricing

Sector: Audit, Data Science, Technology
Role: Senior Executive
Contract Type: Permanent
Hours: Full Time

Your Team
The Pricing Data Engineering & Automation team is part of the Global Pricing department at Allianz Commercial and is responsible for driving the development of data solutions within Pricing across Allianz Commercial globally. You will join an international department located across London, Munich, Bucharest, Chicago, and New York.

The Impact You Will Have
Our global Pricing Data Engineering & Automation team is seeking an experienced Senior Data Analyst for a role within the Pricing Function. In this role, you will work closely with the Head of Pricing Data Engineering & Automation and other key stakeholders to interrogate data and implement pipelines across the various Lines of Business and regions in Allianz Commercial to support advanced pricing.

We are looking for someone who is willing to get hands on with the company's data and to develop innovative and structured solutions to bring it together in a way that maximizes its potential. This person will need to collaborate internationally with various stakeholders, both within the Pricing Function and across other Allianz Commercial functions.

Some of your specific responsibilities could include:

• 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.
• Analyse 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 Modellers 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.

What You'll Bring to the Role

Essential Skills & Experience:

• Approx. 8 years' experience using SQL or Python for data analysis, with about 3 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 analysing, 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 visualisation and anomaly detection.
• Knowledge of P&C insurance, ideally with some experience of working alongside Pricing teams.
• Ability to integrate AI-driven insights into your work to optimize outcomes and support broader organizational goals.
• Experience taking ownership of your own learning and development.

Nice-to-have skills (that can also be learned on the job!):

• 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.

Personal profile:

• Independent and self-directed individuals that thrive when faced with challenge.
• Ability to communicate and work effectively with technical and non-technical team members.
• Desire and ability to learn the business and become an expert in the industry.
• Organised, self-motivated, results-oriented, and very resourceful.
• Relishes problem solving, analysis and getting hands on digging into data issues.
• Fluent English skills, any other languages advantageous.

What's in it for you?

We are committed to nurturing an inclusive environment where everyone feels they belong. We offer a hybrid working model, which recognizes the value of striking a balance between in-person collaboration and remote working. Please feel free to discuss flexible working arrangements with us.

We believe in rewarding performance with a great compensation and benefits package (details vary by location), including a generous bonus scheme and pension.

From career development and digital learning programmes to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.

With opportunities to be engaged in shaping a future that is safe, inclusive and sustainable, we care for the tomorrows of our people, our industry and our clients.

Allianz Commercial is the Allianz Group brand serving the world's largest consumer brands and major industry players through to family-owned enterprises forming the backbone of nations' economies. We bring together the corporate multinational business of Allianz Global Corporate & Specialty and the commercial business of national Allianz Property & Casualty entities and provide both traditional and alternative risk transfer solutions, outstanding risk consulting and Multinational services as well as seamless claims handling.

Allianz is an equal opportunity employer, and therefore welcomes applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability, sexual orientation or any other protected characteristic. Diversity of thinking is an important part of our culture.

People with disabilities:
We want to give all our candidates the best opportunity to succeed. If you need any adjustments to be made during the application and selection process, please email