Lead Analyst (Cardiovascular/renal/metabolic)We are seeking a Lead Analyst to manage our Cardiovascular analyst team, who will play a critical role in providing critical analysis and informatic services to clients. Your insights and output will inform critical decision-making by clients across multiple sectors including, for government, public health, pharmaceutical, medtech, investor and other business sectors. The role holder will help develop our Cardiovascular/renal/metabolic disease analytics across competitive intelligence, commercial and disease outcomes identifying key questions for clients in order shape analysis and always aim to pre-empt the impact changes and new data within the space.Key Responsibilities:Lead the Cardiovascular analytics team to turn science-related data into clear written insights and oral analysis for clients. Strategically enhance and improve Airfinity’s offering in the cardiovascular/ renal/ metabolomic space and provide thought leadership on Airfinity’s positioning and offering in the space.Be a trusted client contact and expert in the cardiovascular/renal/metabolic space and develop a strong relationship through discussion, workshops and regular briefings.Develop and implement data analysis strategies to drive insights and recommendations. for clients.Manage project timelines and deliverables to ensure projects are completed on time and within budget.Deliver effective stakeholder presentations and demonstrations to optimise the value of Airfinity's solutions to clients Contribute to account planning processes and feedback-based improvements on processes.Identify opportunities for business growth and develop strategies to expand the team's offerings.Mentor and coach team members to develop their skills and foster their professional growth.Skills and Qualifications:Several years of experience in data analytics or consulting in the life science industry, ideally in the cardiovascular/renal/metabolic disease spaceAt least a doctorate degree (or equivalent level of experience) in life sciences, data science or statistics.Demonstration of strong commercial understanding and insight generation.Strong analytical skills with proficiency in statistical analysis and data visualisation tools such as Excel, R, or Tableau.Excellent analytical skills and attention to detail to effectively scrutinize scientific results and publications with the capability to produce predictive analytics. Evidence of strong professional growth, agility and thought leadership. Strong project management skills, including the ability to manage multiple projects simultaneously.Experience presenting to clients, including C-suite, and key stakeholders. If you are interested and would like to find out more, please apply now.We are an Equal Opportunity Employer, who are committed to creating a diverse and inclusive company culture, that does not discriminate. Exclusivity and a diverse culture is what helps us shape who we are and reach our potential.