Manager - Business Analytics

Key Responsibilities

• Comprehensive insights generation: Develop and present in-depth reports, situational analysis, portfolio analytics, and market assessments. Perform ad-hoc analyses and presentations alongside creating complex dashboards using Power BI, tailored to stakeholder requirements and ensuring timely, accurate, and high-quality work.
• Structured project management: Adopt a structured project management approach, emphasizing thorough documentation and communication throughout the service delivery process. Maintain a keen understanding of the external environment as well as key stakeholder needs.
• Excellent stakeholder communication: Regularly update all stakeholders, including global customers, regarding accomplishments, KPIs, best practices, and significant events.
• Assisting the program leads in creating analytical products that can help Novartis business in taking strategic data driven decision
• Robust knowledge management: Maintain repositories encompassing both qualitative and quantitative insights on brands, disease areas, and macroeconomic trends in Novartis' operational markets.
• Recruitment and onboarding support: Assist in the recruitment process and seamless onboarding of new team members.
• Foster knowledge sharing and quality improvement: Participate in knowledge-sharing sessions to foster growth and enhance the quality of deliverables within BSI team.
• Compliance and process adherence: Ensure adherence to all internal procedures, including time tracking, KPI tracking and Novartis' operational procedures.
• Pioneering innovation in pipeline data flow management, data visualization, and design by leveraging cutting-edge tools and technologies. Apply design thinking principles to craft engaging and intuitive user experiences. Encourage capability enhancement, including adopting new techniques, data sources, automation, and AI, to bolster process efficiency and enhance the value of insights.

 Minimum  Requirements:

• 7+ years of data analytics experience primarily focus on Data Engineering and Data Visualization. Experience in the Pharma industry will be preferred.
• Proficiency in Alteryx, DataIKU, R, Python, Snowflake, SQL, AI/ML.
• Advanced expertise in Power BI
• Proficient in using MS Office, specifically Excel and PPT.
• Skilled in data architecture, involving structuring and managing data in a user-friendly manner
• Excellent written and verbal communication skills with a people-centric approach.
• Understanding of IQVIA MIDAS, Evaluate Pharma, Capital IQ, etc will be preferred
• Strong analytic skills with the ability to interpret data and insights to drive decision-making.
• Business acumen and solution-oriented mindset, includes P&L management.
• Experience in working across different regions and with commercial, primary market research teams, and the ability to work with a cross-functional team in a matrix environment.
• Dynamic, results-driven, accountable, and the ability to lead and inspire a team.
• Project management skills: scoping, defining deliverables, developing business cases and senior-level reporting, effective and persuasive presentation style.

Desired Requirements:

• Preference for knowledge of disease areas within the Pharma sector, strong leadership and communication skills.
• Should have exposure to cross-functional/ cultural work environment