Manager Forecasting and Brand Analytic - Columbus, OH
The Opportunity
Abbott Nutrition has a Manager, Forecasting and Brand Analytic opportunity open in Columbus, OH
What You’ll Work On
Use analytic data techniques and statistical methods related to business analysis, data mining, design of experiments, and modeling, etc.
to understand the business and recommend actions for improvements.
- Collaborate with Analytics, Marketing, Sales, Marketing Research, Finance, and Contract Operations to identify and evaluate opportunities to utilize data analytics to maximize marketing and sales success.
- Create and maintain forecasting models for Abbott and competitive brands for monthly and quarterly reporting to the cross-functional team and senior management.
- Analyze monthly and quarterly sales, explain variance to market, sales and share forecasts, and present performance update to leadership
- Develop and gain alignment on best visualization content that is in line with industry best practices and ease of user adoption to convey the story inside the data
- Build dashboards and reports for business stakeholders and to support analytic tools
- Complete ad-hoc requests to support tactical and strategic business needs
- Communicate analysis and findings clearly to senior leaders and non-technical audiences
- Manage monthly data streams and third-party relationships with vendors
- Periodically work evenings and weekends to complete time-sensitive assignments
Required Qualifications
- 4 years’ experience in data mining, forecasting, or other analytics
- Experience with data visualization tools such as PowerBI or Tableau
- Experience with statistical tools such as SAS and R
- Excellent communication skills, both oral and written, and the ability to communicate technical analysis and findings clearly to senior leaders and non-technical audiences
- Exceptional organization and time management skills including multi-tasking and the ability to adapt to changing priorities
- BS in Business Analytics, Data Science, Computer Science, Math, Statistics, or related field
Preferred Qualifications
- MS degree in Business Analytics, Data Science, Computer Science, Math, Statistics, or related field
- Experience using SAS Enterprise Guide, and SAS Forecast Studio
- Experience in time series and regression forecasting
- Experience in Healthcare analytics
- Experience with retail analytics, Nielsen, and IRI
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