Client Engagement Business

📋 Description

• • Work with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions in the pharmaceutical sector.
• • Analyze and synthesize complex pharmaceutical transaction data from relational databases to optimize product development, marketing techniques, and business strategies.
• • Develop custom data models, algorithms, and interactive data visualizations (reports and dashboards) to support user stories and deliver actionable insights.
• • Drive discussions with business and technology partners on data context, implications, and strategic recommendations derived from analytical findings.
• • Identify, design, and implement internal process improvements including automation of manual workflows, optimization of data models, and redesign of visualizations for scalability.
• • Implement observability tools to monitor data quality, user engagement, and system performance to inform strategic product enhancements and process refinements.
• • Perform root cause analysis on logic changes and data bugs to uncover opportunities for product and process improvement.
• • Create and maintain comprehensive product-related documentation including project plans, business requirements, and technical specifications.
• • Communicate technical specifications clearly to ensure proper implementation of data queries, analytics techniques, and final deliverables across teams.
• • Comply with all regulatory requirements including HIPAA and adhere to industry-leading practices for data handling and privacy.
• • Mentor junior team members in data analytics best practices, tool usage, and analytical thinking.
• • Serve as the technical liaison between business users and technology teams to bridge communication gaps and align data initiatives with business goals.
• • Contribute to innovative strategies by researching, evaluating, and implementing new data-centric analytics approaches that reflect evolving industry trends.
• • Maintain a self-directed approach to managing multiple projects, systems, and products with high volume and tight deadlines.
• • Adapt quickly to shifting priorities and project directions in a deadline-driven, fast-paced environment while maintaining accuracy and efficiency.
• • Demonstrate strong ownership of projects, proactively anticipating needs and developing efficiencies without direct supervision.
• • Utilize exceptional verbal and written communication skills to build collaborative relationships with clients, account representatives, and clinical team members.
• • Apply critical thinking and problem-solving skills to interpret complex datasets and translate findings into strategic business recommendations.
• • Continuously learn and master new technologies, tools, and analytical techniques to enhance data capabilities and outcomes.