Senior Analyst - Data & Process Management

• At our Sanofi we are leveraging analytics and technology, on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making that will allow us to tackle some of the world s greatest health threats.
• Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management.
• Deliverables support planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial.
• In addition to ensuring high-quality deliverables, our team drives synergies across the franchise, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of Senior Analyst - Data & Process Management .
• We are looking for a team member to support our data management team based out of US. Robust data management is a priority for our businesses, as the product potential has major implications to a wide range of disciplines.
• It is essential to have someone who understands and aspires to implement innovative techniques to drive our data management strategies across franchises.
• He/she will ensure on time and accurate delivery of data requirements by collaborating with relevant stakeholders.
• He/she will ensure Data availability, data quality and data completeness are maintained as per requirements and are delivered in timely manner.
• Ensuring data consistency across the sources and downstream teams.
• Pro-actively identifying data requirements and gaps in system.
• Developing SOPs for data processes and leading the process enhancements.
• Providing training to end users on usage of data across the sources.
• Building advance tools and automate or improve processes for analytical and other needs

• Maintain effective relationship with the end stakeholders within the allocated GBU and tasks - with an end objective to develop education and communication content as per requirement
• Actively lead and develop SBO operations associates and ensure new technologies are leveraged
• Initiate the contracting process and related documents within defined timelines; and
• Collaborate with global stakeholders for project planning and setting up the timelines and maintaining budget

• Ensure data supplied by MDM is used effectively by stakeholders in commercial operations processes (forecasting targeting, call planning, alignments, field reporting, incentive compensation).
• Administer MDM activities related to the sales operations quarterly cycle.
• Monitor data quality reports and investigate problems.
• Maintain requirements documents, business rules and metadata.
• Provide first-level support for sales data inquiries.
• Provide ad-hoc support to US MDM colleagues.
• Works to develop deal tracking analytics and reporting capabilities
• Collaborates with Digital to enhance data access across various sources, develop tools, technology, and process to constantly improve quality and productivity

• Contribute to overall quality enhancement by ensuring high standards for the output produced by the digital and data management team
• Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards
• Management of Quarterly operations for Customer Data on basis of specific frequency (weekly / monthly / quarterly / annually) , along with QC checks for each refresh
• Manage opt out compliance for universe of healthcare professionals.

• Experience : 5+ years of experience in pharmaceutical product commercial sales and Customer datasets, data governance and data stewardship. In-depth knowledge of common databases like Onekey, DHC, Medpro, DDD, IQVIA, XPO, LAAD CRM, IQVIA, APLD etc
• Soft skills : Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills a must; Team player who is curious, dynamic, result oriented and can work collaboratively; Ability to think strategically in an ambiguous environment; Ability to operate effectively in an international matrix environment, with ability to work across time zones; Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques

Technical skills :

• At least 5+ years direct experience with pharmaceutical sales data and data management with the emphasis on syndicated data, Specialty Pharmacy, Customer data, Patient data, Sales Data and Vaccines.
• Strong technical background in Reltio, SQL, Python, AWS, Snowflake, SQL, Python, Informatica, Dataiku etc
• Strong knowledge of pharmaceutical sales and marketing data sources (IQVIA, Veeva etc)
• Knowledge of and/or experience in pharmaceuticals sales operations; understands how data is applied in a pharmaceutical s commercial operations context.
• Ability to translate business needs into data requirement
• Understands the basic principles of data management and data processing.
• Understands the basic principles of data governance and data stewardship (data quality).
• Strong communication skills, including the ability to communicate the data management subject matter to a non-technical/unfamiliar internal customer.
• Experience of using analytical tools like Power BI, VBA and Alteryx etc is a plus.
• Proficient of Excel/word/power point.
• An aptitude for problem solving and strategic thinking and ensuring high quality data output with strong quality assurance
• Ability to synthesize complex information into clear and actionable insights
• Proven ability to work effectively across all levels of stakeholders and diverse functions
• Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions
• Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques
• Effectively collaborate across differing levels of management, functions and role
• Strong decision-making skills, identifying key issues, developing solutions and gaining commitment
• Education : - Bachelor s degree from an accredited four-year college or university. Advanced degree in areas such as Management/Statistics/Decision Sciences/Engineering/Life Sciences/ Business Analytics or related field (e.g., PhD / MBA / Masters)
• Languages : Excellent knowledge in English and strong communication skills - written and spoken