Data Analyst

Candidate Description

Marked by a strong analytical mindset, this data professional leverages nearly four years of experience to deliver strategic, data-driven insights across FMCG, healthcare, and retail sectors. Adept at translating complex data into clear business value, they combine mastery of Python, SQL, Power BI and AWS with solid foundations in statistical analysis and machine learning gained through an MSc in Data Science. Their collaborative style and stakeholder-centric approach have proven effective in fast-paced environments such as a Health and Wellness Company, a Retail and Wholesale Distributor, and a Technology Services Firm.

Their technical acumen is evidenced by architecting cloud-based data solutions for a Healthcare Provider's payment-integrity programme, developing enterprise Power BI dashboards, and managing end-to-end ETL pipelines that ensure data integrity from a Business Management Solution to data-warehouse layers. Proficient in Agile and SDLC practices, they consistently implement robust data models, automate workflows with Power Automate, and apply advanced analytics techniques ranging from unsupervised clustering to deep-learning image recognition to solve real-world business problems.

A natural collaborator, they have partnered with Finance, Sales, Operations and IT stakeholders to align technical deliverables with organisational goals, often mentoring users on self-service BI and data literacy. Their adaptability across multiple industries, commitment to continuous improvement, and proven record of optimising reporting processes make them a valuable asset to organisations seeking to unlock actionable insights and accelerate data-maturity journeys.