Back to jobs

Senior Data analyst

Reads like a Data Engineer role: pipelines and data infrastructure.

Pay
Pay not listed
Work setting
Not stated
Employment
Permanent — employment source
Employment type in the employer’s posting: Permanent
From the employer’s posting

What you’ll work on

Full 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.

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

What you’ll bring

All qualifications

Core experience

  • 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

Benefits in the posting

Full benefits wording
  • A versatile and challenging role in an informal organization
  • Functional leadership: Shape the vision, maturity and evolution of the Data Analyst function across Allianz Benelux
  • An attractive and competitive salary package
  • A solid pension scheme
  • Collective health insurance
  • Discounts on various insurance products

From the employer’s posting.

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 2, 202642 days ago
Recorded sightings
107
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 42

Similar jobs usually come down between day 6 and day 56.

Well past Allianz Insurance’s usual: its jobs come down by about day 3.

From 13,630 similar postings that came down, and 421 of Allianz Insurance’s. Coming down is not always a hire.

Allianz Insurance is hiring

65 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is steady
  • Takes jobs down quickly
  • 5% of open jobs were reposted
Hiring record

Your next step

Check the employer’s posting for the current role and application details.

Applying through Phenom

  • Phenom runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.

Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

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.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

About the Role

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.

Join us. Let's care for tomorrow.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Brussels, Belgium

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

AI answers unavailable

We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting