Lead Data Analyst

- I require strong experience in data analysis and visualization, particularly using Power BI, Excel, and SQL. - A hands-on knowledge of predictive modeling techniques such as regression analysis, clustering, or forecasting is essential. Familiarity with tools like Python or R is a bonus. - I expect familiarity with cloud-based data environments such as Microsoft Azure, AWS, or Google Cloud, and an understanding of how they can support scalable, secure analytics. - You should be confident in working with large, complex data sets, including data cleansing, transformation, and validation. - An understanding of data governance, including principles around data quality, security, and compliance, is needed. - You should have a collaborative approach and be able to engage positively with colleagues from across the business, both technical and non-technical. - Strong communication skills are essential, as it is important to translate technical data into meaningful, actionable insights for a wide range of audiences. - I would appreciate a natural problem-solver with curiosity, creativity, and a keen eye for detail. - Proven experience in mentoring or coaching others and a desire to help build a small team and foster a culture of learning and development is desirable. - You should be comfortable working on multiple projects and priorities, with a flexible, can-do attitude.