Junior Data Analyst

The Junior Data Analyst supports the data and reporting activities of the TA&A Department. The role involves working with team members and stakeholders to understand reporting needs, prepare and analyse data, and contribute to the development of dashboards and performance indicators. The role also contributes to data quality controls and the maintenance of the department's data environment. With support and guidance from experienced colleagues, the Junior Data Analyst progressively develops knowledge of TA&A processes, data management principles and data analysis tools.

Key duties and responsibilities: 

• Support the collection, preparation and analysis of data from different sources.

• Assist with data cleansing, transformation and quality controls.

• Contribute to the design and enhancement of dashboards, reports and data capture solutions by applying user-centric design principles to improve usability, data understanding and stakeholder adoption.

• Help maintain dashboards, KPIs and recurring performance reports.

• Support the development and maintenance of data tables and reporting datasets.

• Work with business teams to understand reporting needs and data definitions.

• Help document data sources, business rules, KPIs and reporting processes.

• Perform initial analyses to identify trends, inconsistencies or unusual results.

• Contribute to ad hoc analyses for specific business questions or new initiatives.

• Assist in the preparation of presentations and reports for management and other stakeholders.

• Identify simple opportunities to improve or automate recurring reporting activities.

• Support the testing of new dashboards, reports and data solutions.

• Develop an understanding of TA&A activities, processes and systems.

• Share progress, results and potential issues clearly with the manager and team members.

   

Experience and Technical Skills:

• Initial experience with data analysis, reporting or data preparation through an internship, apprenticeship, academic project or first professional experience.

• Basic knowledge of Excel and an interest in data analysis and reporting.

• Familiarity with at least one data visualisation tool, such as Power BI, Tableau or Qlik.

• Basic understanding of SQL, Python, Power Query or another data analysis tool would be an advantage.

• Basic knowledge of data cleansing and transformation principles.

• Interest in learning how to work with structured and unstructured data.

• Previous experience in insurance, reinsurance, accounting or finance is helpful but not required.

Personal Competencies:

• Curious and willing to learn.

• Good analytical and problem-solving skills.

• Attention to detail and commitment to data quality.

• Ability to communicate information clearly and simply.

• Comfortable asking questions and seeking guidance when needed.

• Able to work collaboratively within a team.

• Reliable, organised and able to manage priorities.

• Interested in understanding business processes in addition to technical data topics.

• Able to work in an international and multicultural environment.

 

Required Education

Bachelor’s or Master’s degree in Data Analytics, Information Technology, Statistics, Business, Finance, Accounting, Economics or a related field, or equivalent practical experience.

Applications from recent graduates and candidates completing an apprenticeship are welcome.