Senior data analyst - data engineering automation
We are looking for a Senior Data Analyst based in London.
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.
- 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.
- 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.
- 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.
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