Job Description Summary

Job Description

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

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Additional Information

Relocation Assistance Provided: No