Senior Data Analyst

Role: Analytics Engineer serving as a strategic link between business stakeholders and enterprise data platforms, focusing on transforming complex data into scalable insights and trusted reports to support decision-making across marketing, customer service, and commercial teams. Responsibilities: develop advanced analytics solutions including dashboards in Power BI, perform strategic data analysis to identify operational trends, optimize data pipelines and models using SQL, Python, and cloud platforms, automate reporting processes, and ensure data integrity and governance. Collaborate with stakeholders to define KPIs, align analytics with business goals, and drive continuous improvement in data solutions. Qualifications: bachelor’s degree in a relevant field; 5-8 years of experience in data analysis and reporting, with expertise in SQL (5+ years), Python (3+ years), Power BI or Tableau (5+ years), and data modeling; strong understanding of financial and marketing metrics; experience with predictive modeling and cloud-based analytics; demonstrated project management and communication skills. HighValue: focus on operations and supply chain analytics within a biopharma context, emphasizing enterprise-level data solutions, automation, and cross-functional stakeholder engagement. WorkSetup: not specified; likely hybrid or on-site depending on organizational needs.