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Director of Business Intelligence and Analytics
2 months ago
We are seeking a highly skilled and experienced Director of Business Intelligence and Analytics to join our team at Shionogi Inc. As a key member of our commercial organization, you will be responsible for driving business-driven analyses that generate in-depth customer-focused insights and enable critical discussions to continue.
Key Responsibilities- Support key business decisions and inform company strategy through thoughtful analysis and projects.
- Interface with field-focused teams and home office closely in leading and developing the quarterly business review process.
- Provide and generate insights and analytics for the US hospital-based portfolio at Shionogi, Inc with a focus on the in-line brand FetrojaTM (cefiderocol).
- Design and execute all commercial analytical deliverables related to FetrojaTM, including identifying appropriate data sets and methodologies to conduct analysis and synthesis & presentation of final output and conclusion.
- Support the Director of I&A in the build, analysis, and communication of accurate short-term and long-range demand and revenue forecasts.
- Perform advanced statistical analyses with market knowledge and research expertise to identify patterns within the data, uncover insights/brand opportunities and articulate actionable recommendations.
- Develop deep understanding of brand disease state(s) and contribute to competitive intelligence efforts by way of market landscape analysis and projections, identification of potential future competitors, and assessment of implications to brand strategy and revenue forecast.
- Deliver data driven insights through the development of presentations and dashboards that will serve as the foundation for the Fetroja performance narrative and inform strategic decision making across the commercial organization.
- Lead, manage, and execute the entire quarterly business review process for the field teams, coordinating appropriately with home office commercial and cross-functional teams as needed.
- Recommend and design key performance indicators (KPIs) and dashboards for the field teams, as well as identify new relevant field-based reports/metrics based on performed ad-hoc analytics.
- Proactively partner with CDM&T to automate existing manual reports and data streams to support FetrojaTM and other legacy products; create home office and corporate level reports in BI platform; ensure alignment of said dashboards with field sales reports in partnership with Field Operations Reporting Lead.
- Support Director of I&A in development of credible annual objectives that effectively measure the Commercial Plan's performance at the product level (accountability for the US).
- Support Director of I&A in preparation of insights and analysis to support executive level presentations, including board presentations, and budget reviews.
- Effectively collaborate across Shionogi to ensure organizational commitment and alignment with key functions (such as: Marketing, Value and Access, Medical, Finance, and Sales) that are critical to the successful attainment of financial sales goals.
- Master's degree required in a quantitative or business discipline e.g., Statistics, Mathematics, Economics, Operations Research, Computer Science, or related field; Scientific background preferred.
- Minimum of 7 years pharmaceutical healthcare analytics experience.
- Solid knowledge of sources of secondary information and syndicated research for the pharmaceutical and health care industries to include: Deep expertise required of commercial business and industry standard data – script (IQVIA, Symphony, etc.), Patient (Specialty Pharmacies/Distributors), Claims (Open, Closed, Chargemaster, etc.), Managed Care (Symphony, MMIT, etc.), and wholesaler/distribution data (EDI 852, 867, etc.).
- Awareness of potential biases from each database and how that may impact analysis.
- Strong technical knowledge of advanced modeling techniques and statistical principles.
- Must be an advanced user of SAS (or similar programming languages such as R or Python) for statistical analysis in a pharmaceutical context and have experience with data extraction, analysis, and modeling.
- Familiarity with database management issues and ability to interact effectively with systems managers.
