Data Analyst

About the Role We are looking for a highly skilled and motivated Data Analyst to join our team. This role is perfect for someone who thrives on turning complex data into actionable insights, building predictive models, and driving innovation through advanced analytics and AI technologies. Key Responsibilities Data Analysis Analyse data trends, patterns, and anomalies using statistical techniques to derive meaningful insights. Reporting Develop advanced dashboards in Tableau and create powerful data visualisations to communicate findings. Build robust, automated reporting processes to deliver timely, accurate, and reliable management information. Model Development & Evaluation Utilise machine learning, NLP, Generative AI, and advanced statistical methods to build predictive and descriptive models. Validate and refine models for accuracy and reliability. Collaborate with Data Science and Engineering teams to deploy predictive models. Business Engagement & Collaboration Partner with cross-functional teams to identify business needs and provide analytical support for decision-making. Performance Monitoring Track KPIs and provide recommendations to improve business outcomes. Financial Planning & Analysis Support Support budgeting, forecasting, and long-range planning. Integrate AI-driven solutions into financial reporting and BI platforms; explore automation of repetitive tasks. Prepare and present financial reports and recommendations to senior management. Innovation & Continuous Improvement Stay current with data analytics, modelling techniques, and reporting tools. Drive a data-led culture and advise on how data can improve business initiatives and deliver commercial value. Essential Technical Skills Strong experience creating Management Information and technical presentations. Proven track record of advanced dashboard development in Tableau. Proficient in SQL and/or Python for data analysis. Deep understanding of data warehousing principles in cloud technologies (e.g., AWS Data Stack). Ability to manipulate and analyse complex datasets (structured and unstructured). Familiarity with Generative AI tools and techniques. Understanding of predictive modelling and integration of AI-driven solutions into reporting platforms. Personal Skills & Key Competencies Excellent communication and presentation skills for technical and non-technical audiences. Highly organised, delivery-focused, and deadline-driven. Strong commercial awareness and ability to see the bigger picture. Adaptable, proactive, and comfortable in fast-paced environments. Applied knowledge of Agile frameworks (Kanban, Scrum) and roadmap tools (e.g., Jira). Inquisitive, detail-oriented, and eager to learn new tools and AI/data science concepts. Commitment to ethical AI use and data privacy. Collaborative team player with strong relationship-building skills. Desirable Skills Knowledge of the pharmaceutical industry and associated data. Experience building data pipelines and ETL (AWS, Alteryx, Tableau Prep). Financial modelling skills. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). Understanding of MLOps practices. Familiarity with data governance and data quality frameworks. Ready to make an impact? Apply now and help us shape the future of data-driven decision-making!