Assurance Data Analyst (f/m/d)


Assurance Data Analyst (f/m/d)

wefox is a world-leading insurtech company driven by a single purpose: to enable people to be safe by making insurance 10 times better through technology. Together with more than 1300 employees in 8 locations across Europe, we are on a mission to give the world easy access to digital insurance solutions. 

We provide our customers with 360-degree advice through our network of advisors and optimise each individual’s risk coverage by offering innovative prevention, assistance, and insurance products. We integrate the extensive know-how built up in the individual countries and the exchange of experience to build strong expertise among the wefox technology experts in our Tech Hubs in Barcelona, Paris, and Milan.

The newly created role will be part of our Group Risk Advisory function. The Assurance Data Analyst (f/m/d) will be a key contributor to executing the Assurance Data Analytics strategy for wefox’ assurance functions (Risk Management and Group Internal Audit). Responsibilities include leveraging data analytics capabilities to execute data driven risk assessments, audit testing and provide assurance on the effectiveness of the organisation’s risk management and strengthening internal controls. The Assurance Data Analyst (f/m/d) reports directly to the Assurance Data Analytics Lead within Risk Advisory.

In this role you will: 

  • Manage the end-to-end delivery of data analytics solutions, including
    • Supporting the team to identify use cases
    • Gathering business context
    • Formulate hypotheses
    • Finding the right data sources
    • Preparing, exploring and transforming data
    • Visualising results
    • Presenting and explaining results to stakeholders with various seniority levels
  • Providing data driven solutions to risk assessments, Key Risk Indicators (KRI), control testing, ad-hoc investigations, Internal Audit planning and reviews, Management Reporting
  • Build and maintain data pipelines on a SQL based tool (DBT)
  • Develop self-service dashboards based on Power BI
  • Develop data ingestion scripts (Python)
  • Act as a coach for data analytics within the Risk Advisory team and educate colleagues about analytical use cases and data literacy.


What you bring:

  • Experience in an analytical role in Banking/Insurance or Audit/Risk management experience with a strong exposure to data analytics
  • Bachelor degree or higher in a quantitative field (e.g. Data Analytics, Mathematics, Computer Science, Engineering, Economics, Finance & Accounting). Professional certifications or graduate degree is a plus
  • Strong intellectual curiosity and analytical skills. Ability to structure and solve problems
  • Advanced level of SQL and intermediate Python. 
  • Knowledge of data visualisation tools (Power BI or similar)
  • Keen interest to learn about business processes and technology
  • A good grasp of statistics is a plus
  • Strong English written and verbal communication skills


Primary work location is Barcelona. Please apply with your CV in English.

What we offer:

Now, we’ve gotten to the fun part, the part where you get to brag about your company, those perks your friends are so jealous of!

Here are some of them*:

  • Flexible working hours including hybrid working.
  • A stack of the latest technologies and working gadgets.
  • Training and Coaching opportunities.
  • Free coffee, fruit and snacks, because we need fuel!

If you love a less-formal work environment, flexible paid time off, a great compensation package and benefits offering – and most of all, being the authentic you, get in touch, we want to meet you!

To all the misunderstood geniuses, rebels and mavericks looking to change the world for the better. Come work with us!


* Additional Benefits vary between countries and can be explained in more detail by a TA Partner.


Your contact person for this role is Shivani Bhardwaj.


We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.


By submitting the application I confirm to have read and accepted the data privacy policy governing the job application process.

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