An experienced Data Analyst, this candidate brings 9 years of experience gained in retail. Their recent work has included analysing datasets, building dashboards and identifying trends, with regular responsibility for data cleansing and data analysis. They are comfortable using Python, Excel and SQL, and are confident learning new systems when processes or reporting requirements change. Colleagues would describe them as professional, personable and focused on delivery, with a consistent focus on accuracy, follow-through and clear communication. One of their stronger recent contributions involved work that improved data accuracy, while they also contributed to initiatives that automated recurring reports. They are used to working with managers, colleagues and external stakeholders, and can adjust their communication style depending on the audience and urgency of the issue. The candidate is particularly strong in reporting and visualisation, and tends to approach problems by understanding the detail first before deciding on a practical next step. They have also had exposure to technology, giving them a useful ability to adapt to different operating environments, systems and stakeholder expectations. They are now looking for a permanent full-time opportunity. In their next move, work that offers more visible impact is an important consideration. They are comfortable working in the office and are also open to a balanced hybrid arrangement. In interview, they present as considered and straightforward, with a preference for giving practical examples rather than overstating their experience.
