Sales Ops Analyst

Job description

DESCRIPTION

Transparency represents an incredible opportunity to raise retail industry standards around authenticity, product transparency, and supply chain tracking. Transparency is a strategic new software-as-a-service launched by Amazon for the global consumer goods industry. We are focused on building a global service which allows consumer brands and consumers to trace the origin of items throughout the supply chain ensuring only authentic items enter the supply chain. The Transparency service is focused on preventing the receipt and sale of counterfeit goods both online and offline. Our customers include individual consumer brands who sell both on and off of Amazon direct and through a network of direct and third-party sellers.

We are seeking a Business Intelligence Analyst who will provide business support to CN transparency program team. This role will report to CN Transparency Sales Ops Manager, and support Sales Ops Manager to ensure operational excellence for Transparency program. We are looking for a passionate business analyst to turn data into actionable insights, and support to answer strategic business questions. The ideal candidate has broad data analysis skills and deep analytic background to assist Transparency team in extracting data and creating reports.

Key Responsibilities include:

· Own business data request (regular reporting, metrics framework to measure business operations, etc.) for CN transparency team
· Provide data support to develop brand support model to improve CN brand experience
· Drive ad hoc analysis & business operation projects as needed

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in Business, Economics, Statistics, Engineering or a related field.
· 3+ years of professional experience in data analytics, business analysis, marketing insight or consulting position.
· Advanced working knowledge of data retrieving and processing using SQL, ETL, data warehouse as well as Excel.
· Demonstrated experience in preparing and executing presentations of technical and business level data.
· Proven problem solving skills, attention to detail, and exceptional organizational skills.
· Ability to deal with ambiguity and competing objectives in a fast paced environment.
· Strong operational business understanding, including potential impact of business decisions on various internal/external stakeholders.