Galderma

Senior Manager, Commercial Analytics

Galderma

full-time

Posted on:

Location: 🇺🇸 United States

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Job Level

Senior

Tech Stack

PythonSQLTableau

About the role

  • Provide insights to drive business strategy and support growth.
  • Present analyses to all levels of management summarizing analytical approach, data metrics, and key action items
  • Increase internal customer-first thinking, tell the story through voice of customer data analysis and reporting, conduct root cause analysis, and recommend key opportunities for improvement
  • Partner with all levels of Sales, Marketing and Finance teams, as well as vendors to gather, analyze, prepare, and present data-based recommendations and solutions regarding all aspects of the business, including sales results, business plans, trended future requirements, profitability improvement strategies, etc.
  • Lead analytics process with the broader team inclusive of Gross to Net (GTN) forecasting, marketing program ROI (Pre and Post) and digital spend optimization.
  • Support the end-to-end strategy for B2B customer pricing and engagement to achieve corporate objectives – inclusive of rewards, product discounting, engagement.
  • Analyze customer purchasing patterns
  • Maximize / Leverage Technology and Automation (20%)
  • Utilize a variety of predictive analytics techniques to create understanding out of current and historical data
  • Champion and support adoption of BI tools across organization.
  • Monitor usage statistics for BI tools, collaborating with customers to provide input on future enhancements.
  • Creates, leverages, and coordinates use of in-house, and vendor provided sales & marketing databases
  • Collaboration (20%)
  • Collaborate with all internal teams to identify opportunities for greater efficiency and workflow improvement/automation
  • Partner with GBU and US marketing teams to develop standardized reporting & tracking
  • Other (10%)
  • Other duties as assigned

Requirements

  • Bachelor's degree from a college/university required; Master's degree (MA/MS/MBA) preferred.
  • Minimum seven years of experience analyzing and interpreting large sets of data and drawing conclusions to make insightful recommendations.
  • Expert proficiency in Microsoft Excel, SQL and at least one data visualization platforms such as Tableau or PowerBI
  • Expert proficiency with one or more data science tools (R, Python, etc.)
  • Strong communicator and influencer, collaborating and influencing at all levels of the company, and regularly brief executive leadership.
  • Ability to manage high degrees of complexity, as well as working across a matrix environment
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