As a Senior Data Analyst at Allianz Benelux, you are responsible for delivering high-impact analyses and actionable insights to support strategic and operational decision-making.
Beyond individual delivery, you provide functional leadership to the Data Analyst community across the organization.
Turn complex, fragmented data into actionable insights on business questions
Run reliable analyses across multiple data sources and business domains
Define and promote common analytics standards and methods across analysts
Coach and guide Data Analysts as a recognised point of reference
Challenge business assumptions and frame the right questions for stakeholders
From the employer’s posting
As a Senior Data Analyst at Allianz Benelux, you are responsible for delivering high-impact analyses and actionable insights to support strategic and operational decision-making. You combine strong analytical capabilities with deep business understanding, particularly in insurance and financial services. You address complex business questions and translate data into clear recommendations and measurable business value.
Beyond individual delivery, you provide functional leadership to the Data Analyst community across the organization. Acting as a reference point for the discipline, you define and promote analytics standards and best practices, provide guidance and coaching to peers, facilitate knowledge sharing and collaboration, and help develop consistent analytics capabilities across teams — without direct managerial responsibility.
Translate complex, fragmented and sometimes ambiguous data into clear, robust and actionable insights
Perform reliable analysis across multiple data sources, systems and business domains
Develop and promote common analytical standards, methodologies and ways of working
provide guidance, coaching and expertise
challenge assumptions, frame the right business questions
Proven track record as a senior Data Analyst leading complex analytical work
Significant experience in insurance or financial services analytics
Hands-on experience with large, complex datasets using SQL and BI tools
Experience partnering with business stakeholders and senior management
Experience acting as a senior reference for other analysts without line authority
Qualification wording
Proven experience as a senior Data Analyst or equivalent role
Significant experience applying analytics within insurance or financial services
using SQL, analytical programming and BI/visualisation tools
Proven experience partnering directly with business stakeholders and senior management
Demonstrated experience acting as a senior reference for other analysts
Tools in this posting
SQL
Source — Tool mentions in context
- Insurance / financial services experience: Significant experience applying analytics within insurance or financial services, with demonstrated understanding of business processes, performance drivers and data across areas such as underwriting, claims, pricing, distribution, customer or profitability
- Complex data environments: Extensive hands-on experience working with large, complex and heterogeneous datasets, using SQL, analytical programming and BI/visualisation tools to deliver reliable, reproducible and decision-oriented analyses
- Business partnership: Proven experience partnering directly with business stakeholders and senior management, challenging and structuring business questions, presenting analytical findings and influencing decisions through data-driven insights
Check the employer’s posting for the current role and application details.
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
As a Senior Data Analyst at Allianz Benelux, you are responsible for delivering high-impact analyses and actionable insights to support strategic and operational decision-making. You combine strong analytical capabilities with deep business understanding, particularly in insurance and financial services. You address complex business questions and translate data into clear recommendations and measurable business value.
Beyond individual delivery, you provide functional leadership to the Data Analyst community across the organization. Acting as a reference point for the discipline, you define and promote analytics standards and best practices, provide guidance and coaching to peers, facilitate knowledge sharing and collaboration, and help develop consistent analytics capabilities across teams — without direct managerial responsibility.
What We Offer
A versatile and challenging role in an informal organization
Strategic impact: Deliver analyses that directly contribute to business decisions at the highest level
Functional leadership: Shape the vision, maturity and evolution of the Data Analyst function across Allianz Benelux
Innovative environment: Work with advanced data tools and technologies in an organisation that embraces AI and Data Analytics
An attractive and competitive salary package
25 holiday days with the option of 13 additional reduction-of-working-hours days for a full-time contract
A solid pension scheme
Collective health insurance
Discounts on various insurance products
Your Responsibilities
Data to insights: Translate complex, fragmented and sometimes ambiguous data into clear, robust and actionable insights on strategic and operational business questions, requiring a strong understanding of insurance economics and business processes
Reliable analysis: Perform reliable analysis across multiple data sources, systems and business domains while identifying and managing data quality, consistency and interpretation issues
Standards & methodology: Develop and promote common analytical standards, methodologies and ways of working across Data Analysts operating in different teams and business areas — without relying on hierarchical authority
Point of reference: Act as a recognised point of reference for Data Analysts across the organisation; provide guidance, coaching and expertise while connecting a community operating across different organisational units and maturity levels
Complex analytical work: Combine direct ownership of complex and high-value analytical work with broader responsibilities for supporting peers and improving capabilities across the organisation
Stakeholder management: Build sufficient credibility with business stakeholders to not only respond to analytical requests, but also challenge assumptions, frame the right business questions and ensure insights are effectively translated into decisions and actions
Your Profile
Advanced analytics experience: Proven experience as a senior Data Analyst or equivalent role, with a strong track record of independently leading complex analytical assignments from business problem definition through analysis to actionable recommendations
Insurance / financial services experience: Significant experience applying analytics within insurance or financial services, with demonstrated understanding of business processes, performance drivers and data across areas such as underwriting, claims, pricing, distribution, customer or profitability
Complex data environments: Extensive hands-on experience working with large, complex and heterogeneous datasets, using SQL, analytical programming and BI/visualisation tools to deliver reliable, reproducible and decision-oriented analyses
Business partnership: Proven experience partnering directly with business stakeholders and senior management, challenging and structuring business questions, presenting analytical findings and influencing decisions through data-driven insights
Functional leadership: Demonstrated experience acting as a senior reference for other analysts through peer coaching, methodological guidance, quality review, knowledge sharing or communities of practice — ideally across teams without direct hierarchical authority
Interested?
Ready to make a difference with data and take the analytics function to the next level at Allianz Benelux? Apply now and help shape data-driven decision-making!
#LetsCareForTomorrow
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.