Principal Integrated Insights Lead - Data & Analytics (Finance)Experience Level: Senior Level | Posted Date: 2025-04-15
Responsibilities:
Insights Strategy Development: Develop and implement comprehensive insights strategies to support business goals and drive data-driven decision-making
Data Analysis: Analyze large and complex data sets to uncover trends, patterns, and insights that inform business strategies
Cross-Functional Collaboration: Work closely with various departments, including finance, services, supply chain, marketing, sales, and product development, to ensure insights are integrated into decision-making processes
Reporting and Visualization: Create clear and compelling reports and visualizations to communicate insights to stakeholders at all levels of the organization
Stakeholder Engagement: Engage with senior leadership and other key stakeholders to present findings and recommendations
Continuous Improvement: Identify opportunities for process improvements and implement best practices in data analysis and insights generation
Leverage expertise in insights and analytics, as well as the latest industry knowledge to accelerate the innovation of data-driven insight solutions
Evaluate information from various sources to provide insights and strategic direction.
Required Qualifications & Skills
Motivated individual, with strong communication skills and having experience working in pharmaceutical industry and strategic analytics and insights
A Bachelor’s degree (preferably in a science, data, engineering, or a business discipline); an MBA or Master’s degree preferred
Advanced data and analytics experience, including an emphasis on strategic analytics and insights
Previous experience managing complex projects and portfolios to deliver business outcomes
Proven success communicating and engaging with executives; ability to communicate, influence, and engage partners, stakeholders and influencers across organizational levels
Proven experience in data analytics, preferably within the finance sector.
Strong analytical and problem-solving skills with the ability to interpret complex data and provide actionable insights
Proficiency in data analysis tools (e.g., SQL, Python, R) and data visualization tools (e.g. Power BI)
Knowledge of advanced analytics techniques and machine learning
Experience with cloud-based data platforms (e.g., AWS, Azure)
Ability to develop and deliver creative solutions that best meet stakeholder and business needs
Expertise in applying data analysis, data science, forecasting, decision analytics, BI reporting and other analytics frameworks and techniques to influence business decisions
Strong communication, presentation and facilitation skills
Relocation Assistance Provided: Yes