Data Analyst

Xquisit; Brussel Hoofdstad; Hybrid; EUR 65,000 - 80,000; Full time

Job summary

Xquisit is seeking a Data Analyst to join the Risk, Control & Performance Management Life Insurance team. You will analyze complex data, build robust datasets, and deliver reliable reporting and dashboards for decision-making across the business line.

You will collaborate with stakeholders, optimize queries, and promote self-service analytics while ensuring data quality and governance. Strong English, Dutch, and French skills are valued, with a Master’s degree and 5–8 years of experience.

Qualifications

• Proven experience in data analysis and reporting (5 y - 8 y)
• Critical and Analytical Thinking: ability to evaluate the quality of information and interpret it critically.(5 y - 8 y)
• Innovation-oriented attitude with a focus on identifying optimization opportunities
• Experience insurance or financial industry
• Experience in data modelling
• Data Analyst role in a reporting environment(5 y - 8 y)
• Development of datasets and reporting solutions based on raw, complex data(5 y - 8 y)
• Process improvement and reporting automation(5 y - 8 y)
• Reporting portfolio rationalization and optimization(5 y - 8 y)
• Change management related to data and reporting
• End-to-end requirements management (elicitation, analysis, validation, documentation)

Responsibilities

• Exploiting and analyzing complex databases to gain relevant insights. Using Databricks for data manipulation, analysis, and visualization. Optimizing existing queries (SAS, SQL) to extract and analyze data from relational databases.
• Developing consistent and accurate datasets for new and existing analyses and making periodic reports available.
• Continuously improve and automate data analysis and reporting processes by initiating and guiding change management. Actively identify and implement optimization opportunities and innovation. Rationalize existing reporting patrimony by identifying synergies.
• Support stakeholders with self-service reporting tools and foster a culture of autonomy regarding data.
• Collaborate with internal clients to understand their needs and provide appropriate data solutions.
• Document and analyze reporting requirements and propose suitable solutions.

Skills

Power BI

Databricks

Python

SQL

SAS

Relational databases

Data Visualization

Query tuning

MS Office 365

Data analysis

Education

Master

Tools

Databricks

Power BI

Azure platform

Microsoft Fabric

Python

SQL

SAS

Job description

Functie

The Data Analyst will join the Business Reporting & Data Engineering team within Risk, Control & Performance Management Life Insurance, responsible for risk management, control activities, and the production of commercial and technical reporting on life insurance products. These insights form the basis for strategic decisions and product development.
The Business Reporting & Data Engineering team focuses on developing flexible and relevant business reports and ensuring the quality and completeness of the data within our business line. Our dashboards and analyses support our management, various departments, and the bank distribution network in making data-driven decisions.

Main responsibilities

• Exploiting and analyzing complex databases to gain relevant insights. Using Databricks for data manipulation, analysis, and visualization. Optimizing existing queries (SAS, SQL) to extract and analyze data from relational databases.
• Developing consistent and accurate datasets for new and existing analyses and making periodic reports available.
• Continuously improve and automate data analysis and reporting processes by initiating and guiding change management. Actively identify and implement optimization opportunities and innovation. Rationalize existing reporting patrimony by identifying synergies.
• Support stakeholders with self-service reporting tools and foster a culture of autonomy regarding data.
• Collaborate with internal clients to understand their needs and provide appropriate data solutions.
• Document and analyze reporting requirements and propose suitable solutions.

Language requirement

• English: good knowledge
• Dutch: good knowledge/ fluent
• French:good knowledge/ fluent

Level of education required

• Master

Required Knowledge and Experience

• Work experience:
  • Mandatory
    • Proven experience in data analysis and reporting(5 y - 8 y)
    • Critical and Analytical Thinking: Ability to evaluate the quality of information and interpret it critically.(5 y - 8 y)
    • Innovation-oriented attitude with a focus on identifying optimization opportunities
  • Preferable
    • Experience insurance or financial industry
    • Experience in data modelling
• Job experience:
  • Mandatory
    • Data Analyst role in a reporting environment(5 y - 8 y)
    • Development of datasets and reporting solutions based on raw, complex data(5 y - 8 y)
    • Process improvement and reporting automation(5 y - 8 y)
    • Reporting portfolio rationalization and optimization(5 y - 8 y)
  • Preferable
    • Change management related to data and reporting
    • End-to-end requirements management (elicitation, analysis, validation, documentation)
• Soft skills:
  • Analytical mindset
  • Structured and quality-oriented approach
  • Proactive attitude and initiative taking
  • Ability to drive and support change
  • Strong communication skills
  • Critical thinking and constructive challenge mindset
  • Team player with collaborative mindset and flexibility
  • Keeping up with technological advancements and innovations in the BI field
• Hard skills:
  • Mandatory
    • MS Office 365
    • Power BI
    • Databricks
    • Python, SQL, SAS
    • Relational database querying and analysis
    • Data Visualization
    • Query performance tuning and optimization
  • Preferable
    • Azure platform
    • Microsoft Fabric