Business Analyst

-Contribute to challenge and improve local/simple business processes, products, services, and software through data analysis. -Engage with business representatives and support the appropriate DDIT teams and Functions to develop business requirements and deliver data driven recommendations to improve efficiency and add value.

• Support delivery of AI driven call plan for field force while working in collaboration with multiple stakeholders across various Novartis organizations with a focus on field strategy, deployment, and enterprise analytics, including:
• Lead hypothesis generation and other workshops to identify the business drivers and provide support to data engineering and data science team to translate business rationale into AI / ML modelling requirements.
• Manage the Sales Force Effectiveness team or lead a key process/service within the team -Setup infrastructure and systems in close alignment with Regional Commercial Excellence team (CRM, Analytics, Dashboards, Insights, etc.)
• Execution and tactic effectiveness studies, quantifying impact using established strategic hypotheses, advanced analytics approaches, and consultative skills to synthesize results and communicate findings.
• Responsible for the discussion and presentation of the AI call plan evolution, insights, rationale, and outcomes to business (sales and TA teams)
• Ability to go in-depth into the data, identifying data anomalies, gaps, preparation of storyline in PowerPoint for presentation to senior Brand leadership. Strong reasoning, analytical and storytelling skills are crucial for effective execution of this role.
• Ensure the timely delivery of high-quality outputs to business stakeholders and ensuring meeting all AI call plan milestones.
• Maintain exemplary communication within the program team including data engineers, data scientists, program leadership, and all required business stakeholders.
• Support team operations by completing project documentation, post-project activities, and the creation of SOPs, along with ensuring compliance in SNOW and other Ops processes.

• Experience in three or more of the following areas (along with ability to translate the business requirements for data science and data engineering teams and provide business narrative of data science outcomes to the sales and brand teams)
• Hands-on experience with sales data, field engagement data, call plan process, Omnichannel engagement planning (Must have). Opportunity assessment and customer prioritization (Must have)
• Resource optimization, field size and structure design (Must have). Call Planning and sound understanding of field engagement processes and commercial datasets (Must have). Extensive experience in developing and scaling data science products at enterprise level and agile product development methodologies (Preferred)
• Understanding of algorithm design, development, optimization, scaling, and applications with an ability to create reusable data science assets as service (Preferred). Tactic and execution effectiveness measurement
• Act as a Sales Force Effectiveness business partner to the sales leaders by designing & implementing Sales Force Effectiveness deliverables including measuring product access and sales performance, segmentation & Targeting, account planning, incentive calculation, CRM system management & creating insights through market analytics.
• Improve quality and transparency of resource allocation decision making by targeting and segmentation, territory design/ alignment, Field Force capacity planning, product allocation, call plan design and monitoring, account planning and customer acquisition strategies and action plans, performance measurement, monitoring and Field Force ROI analysis
• Maintenance of CRM system including data extraction and monitoring KAM standards. Drive the systematic generation of insights and generating recommendations for the business. Ensuring the compilation and monthly analysis of market data
• Ensure high data quality and utilization -Implement standardized Sales Force Effectiveness systems, tools, analytics, performance dashboards and quantitative and qualitative KPIs -Manage Field Force productivity
• Align strategic company and Business Unit objectives with sales and promotion plans and incentive schemes. Support projects for the business unit that involve resource allocation (e.g. launch planning)
• Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt -Distribution of marketing samples (where applicable)

• Graduate degree in an analytical field/ Life Sciences/ Medicine/ Science & Technology / advanced Statistics.
• Experience (6+ years) in functional/business consulting projects for pharmaceutical companies and ability to work independently. Hands on to commercial (must), Pharma Data analytics, Brand Analytics, BI, medical, patient services and market access functions.
• 6-7 years of work experience on wide range of business initiatives, such as process improvement, implementation of enterprise initiatives, analytics tools and technology and data-driven decision-making. Open to work in shifts.
• Pharma analytics should be adept at collecting, cleaning, and analyzing large datasets to derive insights and drive informed decision-making within the organization.
• Project management: experience in leading or participating in cross-functional, strategic projects within the organization.
• Stakeholder management: significant experience in collaborating with stakeholders at all levels of the organization.

Analytical Thinking, Communication Skills, Requirements Analysis, Requirements Gathering