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.
Provide data validation and testing for upgrades, provide ad hoc training to end users
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