Senior Manager, Commercial Analytics
Galderma
PythonSQLTableau
Senior Manager, Commercial Analytics
Galderma
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob 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
