Business Intelligence Manager

The Business Intelligence Manager will play a crucial role in driving business growth and leading strategic improvement initiatives within the pharmaceutical organization. This position involves close collaboration with cross-functional teams to identify and analyze business needs, discover opportunities, and develop data-driven solutions. By leveraging advanced analytics and actionable insights, the Business Intelligence Manager will enhance decision-making, optimize processes, and achieve impactful business outcomes. Key Responsibilities: - Business Needs Assessment: Collaborate with stakeholders to comprehensively understand and evaluate business needs, translating them into clear, actionable requirements for innovative solutions. - Advanced Data Analysis: Utilize advanced tools to analyze large and complex datasets, uncover trends, generate actionable insights, and drive informed business decisions. - Solution Design and Development: Develop compelling business cases and proposals for solutions, including process enhancements, technology integrations, and organizational optimizations to support business growth. - Stakeholder Collaboration: Establish and maintain strong communication channels with stakeholders, including senior leadership, to ensure alignment, transparency, and buy-in throughout the solution development process. - End-to-End Project Management: Lead projects from inception to completion, ensuring timely delivery, adherence to budgets, and alignment with strategic goals. - Continuous Process Optimization: Identify and implement opportunities for streamlining processes to enhance efficiency, effectiveness, and overall operational performance. - Regulatory Adherence: Ensure that all proposed and implemented solutions comply with industry standards and regulatory requirements, such as FDA guidelines, to safeguard organizational integrity and compliance. Requirements: 1. Education: - Bachelor's degree in Mathematics, Engineering, Business Administration, or a related field. - MBA or an advanced degree in Business Analytics, Data Science, or related fields is preferred. - Additional certifications in analytics tools or methodologies (e.g., Power BI, SQL, or Python) are advantageous. 2. Experience: - 35 years of experience in the pharmaceutical industry, preferably in a business intelligence, data analytics, or related role. - Proven track record in delivering actionable insights and driving data-driven decision-making in sales and marketing contexts. 3. Skills: - Analytical Expertise: Proficient in handling and analyzing large datasets to uncover trends and opportunities. - Technical Proficiency: Skilled in tools such as Power BI, Tableau, Google Workspace Excel, SQL, Python, and data visualization frameworks. - AI/ML Knowledge: Familiarity with advanced analytics, predictive modeling, and machine learning algorithms is beneficial. - Pharmaceutical Knowledge: Comprehensive understanding of industry trends, regulations (e.g., FDA), and sales force effectiveness metrics. - Problem-Solving Ability: Strong critical thinking skills with a solution-oriented approach to complex business challenges. - Communication Skills: Excellent ability to communicate insights effectively to diverse audiences, including senior leadership, through presentations and dashboards. - Project Management: Demonstrated capability to manage multiple priorities in a fast-paced environment, delivering on time and within budget. - Stakeholder Collaboration: Ability to work cross-functionally and foster alignment among teams to achieve common objectives.,