- Analyse, interpret, and predict trends from product-related data.
- Apply statistical rigor to enhance data-driven decision-making.
- Lead efforts to introduce new technologies and methodologies within the data team.
- Proven experience as a Data Analyst, with a strong background in statistical analysis and large dataset management.
- Proficiency in SQL for data manipulation and extraction.
- Skilled in cleaning complex datasets, ideally with experience in the financial sector.
- Expertise in data visualization tools such as Qlik, Tableau, and PowerBI.
- Ability to collaborate cross-functionally and effectively communicate insights to stakeholders.
- Self-motivated, with the capacity to manage workload independently and meet deadlines.
- Strong problem-solving skills with the ability to devise innovative solutions.