3 Pharma Datasets Jobs

You will provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. You will support and facilitate data-enabled decision-making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. Additionally, you will support GBS - GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, supporting team lead in all business-related tasks/activities, building process documentation, and knowledge repositories. You will also be an integral part of a comprehensive design team responsible for designing promotional marketing materials. As an Analyst at Novartis, your key responsibilities will include creating and delivering Field Excellence insights as per agreed SLAs, designing, developing, and/or maintaining ETL based solutions that optimize field excellence activities, delivering services through an Agile project management approach, maintaining standard operating procedures (SOPs) and quality checklists, and developing and maintaining knowledge repositories collecting qualitative and quantitative data of field excellence related trends across Novartis operating markets. Essential requirements for this role include 2 years of experience in SQL and Excel, learning agility, the ability to manage multiple stakeholders, experience in Pharma datasets, and experience in Python or any other scripting language. Desirable requirements include a University/Advanced degree, ideally a Masters degree or equivalent experience in fields such as business administration, finance, computer science, or a technical field. Experience of at least 3 years in using ETL tools (Alteryx, DataIKU, Matillion, etc.) and hands-on experience with cloud-based platforms like SnowFlake is mandatory. Novartis's purpose is to reimagine medicine to improve and extend people's lives, with a vision to become the most valued and trusted medicines company in the world. By joining Novartis, you will be a part of a mission-driven organization where associates drive the company to reach its ambitions. If you are passionate about making a difference in patients" lives and want to be part of a community of smart and dedicated individuals, consider joining Novartis. For more information about benefits and rewards at Novartis, you can refer to the Novartis Life Handbook at https://www.novartis.com/careers/benefits-rewards. If you are interested in staying connected with Novartis and learning about future career opportunities, you can join the Novartis Network here: https://talentnetwork.novartis.com/network.,

Job Title: Senior Analyst - Data Management Main responsibilities: 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 worlds 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 People: 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 Performance: 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 Process: 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. Stakeholder: Work closely with global teams and/ external vendors to ensure the end-to-end effective project delivery of with complete data availability. About you 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 pharmaceuticals 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 : - Bachelors 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 Pursue progress, discover extraordinary

At Lilly, you are part of a global healthcare leader that is committed to uniting caring with discovery to enhance the lives of people worldwide. With our headquarters in Indianapolis, Indiana, our dedicated team of 39,000 employees collaborates to discover and deliver life-changing medicines, enhance disease understanding and management, and contribute to our communities through philanthropy and volunteerism. Our focus is on making a positive impact on people's lives around the world. As part of our ongoing efforts, we are in the process of developing and internalizing a cutting-edge recommendation engine platform. This platform aims to streamline sales and marketing operations by analyzing diverse data sources, implementing advanced personalization models, and seamlessly integrating with other Lilly operations platforms. The goal is to provide tailored recommendations to our sales and marketing teams at the individual doctor level, enabling informed decision-making and enhancing customer experience. Responsibilities: - Utilize deep learning models to optimize Omnichannel Promotional Sequences for sales teams - Analyze large datasets to identify trends and relevant information for modeling decisions - Translate business problems into statistical problem statements and propose solution approaches - Collaborate with stakeholders to effectively communicate analysis findings - Preference for familiarity with pharmaceutical datasets and industry - Experience in code refactoring, model training, deployment, testing, and monitoring for drift - Optimize model hyperparameters and adapt to new ML techniques for business problem-solving Qualifications: - Bachelor's degree in Computer Science, Statistics, or related field (preferred) - 2-6 years of hands-on experience with data analysis, coding, and result interpretation - Proficiency in coding languages like SQL or Python - Prior experience with ML techniques for recommendation engine models in healthcare sectors - Expertise in Feature Engineering, Selection, and Model Validation on Big Data - Familiarity with cloud technology, particularly AWS, and tools like Tableau and Power BI At Lilly, we are committed to promoting workplace diversity and providing equal opportunities for all individuals, including those with disabilities. If you require accommodation during the application process, please complete the accommodation request form on our website. Join us at Lilly and be part of a team dedicated to making a difference in the lives of people worldwide.,