Position Overview We are seeking a key individual to bridge the gap between commercial operations and advanced data solutions. In this pivotal role, you will leverage your expertise in data integration, manipulation, and visualization to enhance our pharmaceutical commercial strategies, support product launches, and enable next-generation analytics capabilities. If you thrive on collaborating with diverse stakeholders, solving intricate data challenges with tools like SQL and Python, and driving business impact through robust data solutions, this opportunity is for you. Key Responsibilities Work closely with business stakeholders to support and execute commercial operation visions by developing, maintaining, and enhancing existing reports, data integrations, and data management processes. Lead data validation, integration, and manipulation for various pharmaceutical commercial data sources (e.g., IQVIA/Symphony national and HCP-level sales, call and sample data, and promotional data). Utilize SQL for advanced querying and data manipulation, and Python (or similar scripting languages) for automating data pipelines and extraction efforts. Design, create, and maintain dynamic Power BI dashboards and executive-ready Excel reports, translating complex datasets into clear, actionable insights for marketing and sales leadership. Ensure data integrity and accuracy by establishing and enforcing data governance practices and data quality controls for commercial datasets. Act as the primary liaison between business stakeholders and technical teams (including data engineering and IT, ensuring alignment on data strategy, KPIs, and solution architecture. Conduct in-depth analysis of pharmaceutical sales, prescriber behavior, and market data to influence commercial strategy, optimize field deployment, and support new drug launches. Qualifications Deep expertise and hands-on experience with key pharmaceutical commercial data sources (e.g., IQVIA Xponent, DDD, Symphony, Veeva CRM, Salesforce, 867/852/849, Payer Data, ICS, MMIT Expert-level proficiency in complex SQL for data extraction, manipulation, and analysis. Strong experience with Python or other scripting languages for data integration, automation, and data processing. Expert-level skills in Power BI and Microsoft Excel PivotTables,VLOOKUP) for report and dashboard creation. Familiarity with database concepts and cloud data environments (e.g., AWS Redshift, SQL Server). Understanding of data migration, data integration, and data warehousing principles. Exceptional analytical skills to identify trends, interpret complex data, and translate findings into clear, actionable business recommendations. Proven ability to manage cross-functional initiatives, communicate effectively with leadership, and drive project execution. Detail-oriented with a proactive approach to identifying inefficiencies and developing streamlined solutions. Education Master's degree in Management Information Systems, Data Science, Business Analytics, or a related quantitative field is highly preferred. Bachelor's degree in Computer Science, Information Systems, or a related technical or business discipline with extensive equivalent practical experience is required. 7+ years of experience as a Data Analyst, Business Analyst, or Consultant with a strong focus on commercial data and analytics within the Pharmaceutical or Life Sciences industry.