Portfolio and Pricing Analyst in Clinigen's Global Access team. Responsible for pricing analysis and data management to support unlicensed medicines provision.
Responsibilities
Maintain Portfolio & Pricing Framework – Ensure accurate configuration and upkeep of the Global Access portfolio and pricing structure in line with business strategy.
Conduct Pricing Analysis – Perform competitive pricing research using internal and external data to support new opportunities and portfolio decisions.
Collaborate on Data Automation – Work with the Business Data & Analytics team to enhance reporting processes and explore AI-driven improvements.
Manage Portfolio Lifecycle – Oversee product entry/exit through automated reviews, coordinating with master data and customer service teams.
Monitor Pricing Performance – Maintain trackers and metrics at country and product level, and communicate cost price changes to relevant teams.
Support Commercial Strategy – Assist in creating market-specific price lists and ensure contract profitability through forecasting and review.
Ensure Data Accuracy & Compliance – Maintain pricing data integrity in Oracle, resolve discrepancies, and adhere to SOPs and company policies.
Requirements
Requires a minimum of two years direct progressively responsible experience with expert analytics and reporting experience, ideally in a relevant sector.
Relevant training in fields such as business administration, accountancy, sales, marketing, or computer science generally obtained through completion of a three/four-year bachelor’s degree program.
Evidence of strong analytic mind set, and intellectual curiosity is essential.
Ability to effectively participate in cross-functional problem-solving teams.
Ability to provide expert steer and knowledge into wider team settings, leading where required.
Planning, analytical, and conceptual skills to evaluate business problems and identify and apply appropriate solutions.
Strong business acumen.
Strong skillset in relational databases (e.g., Microsoft SQL Server or Access) and data management essential.
Experience with cloud-based data warehousing/engineering architecture (e.g., Microsoft Azure) desirable.
Experience with object-oriented programming (e.g., VBA, Python) desirable.
Some experience with statistical or math’s packages (e.g., R, Stata, SPSS) desirable.
Experience with Alteryx Designer desirable.
Experience with Power BI or similar visualization software desirable.
Strong skillset and experience with business intelligence tools, capabilities, and best practices essential
Strong knowledge of Microsoft Word, PowerPoint, and Outlook, and Excel (expert) required.
Benefits
27 days holiday, plus bank holidays
Discretionary Bonus
Pension contributions & Life Assurance scheme
Flexible Benefits Platform with £25/month Company contribution
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