Manager, Enterprise Analytics & Forecasting

The Manager, Enterprise Analytics and Forecasting, is responsible for expanding the Consumption data-based reporting and modeling functions at Wells Enterprises. Builds, maintains, and trains users on usage of custom analytic dashboards, driving from data to insights. Acting as a trusted consulting partner for cross functional teams for category, trend, and analytics.

Responsibilities Include:

• Works closely with Senior Leadership in multiple cross-functional roles to develop and deliver both automated and ad-hoc analytic solutions using syndicated consumption data. 
• Scale and improve consumption forecasting through cross functional partnership with Advanced Analytics Team. Driving adoption through change management.
• Supports analytic best practices via training and socialization of critical business tools. 
• Design, build and maintain dashboard and reporting applications to support action driven insights. 
• Works with consumer panel data sources available to help answer business needs and recommend opportunities to maintain brand health. 
• Seeks efficiencies in data visualization and delivery methods to ensure best-in-class tools are available to end user base. 
• An expert in category trends is able to synthesize large amount of data in order to provide executive level reporting and insights on an ad hoc and ongoing basis.

Qualifications:

• Bachelor’s degree in Business, Marketing, Statistics, and Economic related field
• 3-5 years of working with syndicated consumption data (NIQ-Nielsen / Circana – IRI) 
• 1-2 years of experience working with data visualization software (ex – Tableau, PowerBI) 
• 1-2 years of experience utilizing statistical modeling techniques to explain drivers and forecast future volume in a CPG environment
• Familiarity working with Syndicated data streams outside of vendors provided data environments. 
• In depth understanding of the Consumer Package Goods Industry.
• In depth understanding of syndicated data (i.e. understand of how it’s built from disaggregate level to database). 
• Familiarity with other data streams available in CPG environment (ex – Internal Shipment data, loyalty card, API delivered, etc.). 
• Familiarity with household panel data, consumer research, and shelving principles. (Nielsen, IRI, Numerator).
• Strong strategic thinking focuses using sound analysis of competition, trends and corporate strengths and weaknesses to drive decisions.
• Proficiency in business insights tool (Tableau, PowerBI). Familiarity with Python, R, SASS is preferred but not required. 
• Proven ability to drive the organization to the next level of achievement with a strong sense of urgency and continuous improvement focus. 
• Curious individual with continuous improvement mindset.

The base pay range for this position is $115,000 to $162,000 annually.  Actual compensation will be determined based on experience, qualifications, and other job-related factors permitted by law.  This pay range represents the anticipated salary for this position at this time.

Salary : $115,000 - $162,000