Associate Director, Advanced Analytics in San Francisco, CA
Job title: Associate Director, Advanced Analytics in San Francisco, CA at Pacira Pharmaceuticals, Inc.
Company: Pacira Pharmaceuticals, Inc.
Job description: Overview:About PaciraPacira BioSciences, Inc. is a leading provider of non-opioid pain management and regenerative health solutions dedicated to improving outcomes for health care practitioners and their patients. Our in-depth knowledge of non-opioid pain management, coupled with our passion for advancing patient care, drives our commitment to providing solutions that address unmet medical needs and improve clinical results.Why work with us?Rarely do you have an opportunity to do work that really matters. What drives us is our mission. What makes us successful are our people. At Pacira, you are part of an inclusive culture that fosters collaboration, growth, and innovative thinking - a place where you can make an impact and help change the standard of care in non-opioid pain management. Be part of our movement, let’s pursue excellence together.Summary:
The Associate Director, Advanced Analytics, focuses on extracting insights from various commercial data sources leveraging advanced analytics techniques and tools to support business decision making across marketing, sales, finance, and managed care. Key stakeholders include the Marketing team, Portfolio Strategy, Managed Care and Access teams, Field teams, Commercial Operations, IT, Finance, and Medical Affairs. This role reports to the Senior Director, Commercial Data & Advanced Analytics. The responsibilities include but are not limited to driving in-line and pipeline insights, conducting measurement studies to optimize spend, building predictive models to optimize field and digital promotions, analyzing provider and payer contracts, participating in high-profile strategic assessments, and collaborating with internal stakeholders to drive comprehensive strategies across commercial and advanced analytics. The scope may cover our in-line products including EXPAREL, ZILRETTA, and iovera, pipeline projects including PCRX-201, partnership assessments, and potential M&A opportunities. The ideal candidate will have a strong background in building scalable advanced data analytics, predictive modeling, the analysis of market trends and the competitive landscape, and will partner work closely across the insights and commercial data analytics team to uncover opportunities to generate further value for patients and address unmet needs in the pain and regenerative health space. Responsibilities:Essential Duties & Responsibilities:
The following statements are intended to describe the general nature and level of work being performed by an individual assigned to this job. Other duties may be assigned.
- With minimal guidance, deliver impactful commercial advanced analytics projects to guide business decision making
- Answer key business questions and identify business opportunities by analyzing data from industry (e.g., anonymized, longitudinal patient claims data, remittance claims, payer policy and lives data etc.) and internal (e.g., field and digital customer interactions, sales data) sources
- Translate insights gleaned from advanced analytics into clear and compelling recommendations for non-technical audiences
- Collaborate closely with cross-functional partners in Insights & Analytics, Marketing, Managed Care, Field, Commercial Operations, and IT to deliver on advanced analytics projects
- Advanced analytics deliverables may include the following:
- Oversee development of dashboards, reports, and ad-hoc analyses to support commercial decision-making
- Keep abreast of key market events, competitor activities, and work to understand potential impact
- Proven track record of developing and executing successful advanced analytics projects across a diverse product portfolio, wide range of internal stakeholders, and various commercial areas including portfolio strategy, pipeline planning, managed care, marketing, medical affairs, commercial operations, and field execution.
- Experienced working knowledge of commercial data sources and tools relevant to pharmaceutical industry (e.g., Veeva, IQVIA, SHA, MMIT)
- Deep healthcare industry knowledge (i.e., managed care, patient, provider, pharma company, pharma / biotech technology, and disease area trends)
- Strong collaboration and teamwork skills to partner with peers on interdepartmental initiatives
- Demonstrated ability to work effectively in complex, rapidly changing environment.
- Strong project management skills including the ability to manage multiple projects, set priorities, and meet deadlines.
- Strong Analytical skills. Ability to work with complex data sets, formulate an analysis plan to derive insights, and solve critical questions
- Ability to translate insights gleaned from advanced analytics projects into clear messages and recommendations for non-technical audiences
- Statistical programming experience with Python, R, or similar
- Strong SQL skills and experience working with cloud data infrastructure (e.g., Microsoft Azure or similar)
- Experience working with business intelligence platforms such as Power BI or Tableau
- Strong Excel and PowerPoint skills
- Strong critical thinking and structured, problem-solving skills
- Excellent oral and written English communications skills.
- Solid financial and business acumen; analytical mindset; demonstrated strong analytical skills.
- Ability to travel up to 20%.
- Medical, Prescription, Dental, Vision Coverage
- Flexible Spending Account & Health Savings Account with Company match
- Employee Assistance Program
- Mental Health Resources
- Disability Coverage
- Life insurance
- Critical Illness and Accident Insurance
- Legal and Identity Theft Protection
- Pet Insurance
- Fertility and Maternity Assistance
- 401(k) with company match
- Flexible Time Off (FTO) and 11 paid holidays
- Paid Parental Leave