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The Inbound Operations and Technology (IOT) – Execution team within North American Supply Chain Operations (NASCO) is looking for a Business Analyst to help review information and provide insight on key supply chain initiatives. This position will be responsible for conducting an analysis of data and other information, putting together business-oriented recommendations and driving consensus across stakeholder groups. This role will work closely across a broad range of teams, including Supply Chain, Retail, Fulfilled by Company (FBA), and technical teams, in an exciting, fast-paced, and changing environment. The business analyst will present recommendations to the most senior levels of the organization.
This role requires an individual with excellent analytical abilities, outstanding business acumen and exceptional written and oral communication skills. The successful candidate will have a strong understanding of different business models and the underlying analytics, and the ability to assimilate new methodologies and data sources. They will be a self-starter comfortable with ambiguity, with strong attention to detail, be vocally self-critical, and with an ability to work in a fast-paced and ever-changing environment. S/he recognizes that the true measure of the work product is the business impact it has.
As an IOT-Execution Business Analyst, you will:
Partner with the program team to create key performance indicators and new methodologies for measurement.
Understand drivers, impacts on key influences on supply chain dynamics and productivity.
Translate data into actionable insights for the stakeholders.
Automate reporting for weekly business metrics; identify areas of opportunity to automate and scale ad-hoc analyses.
Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics, Supply Chain or related field
2+ years of experience in a business analyst/data analyst/statistical analyst role
2+ years of experience conducting analysis and data mining using Excel
Proficient extracting and processing data using SQL
Experience in data visualization platforms
Proven problem solving skills, project management skills, attention to detail, and exceptional organizational skills
Master's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field
3+ years of relevant experience in a business analyst/data analyst/statistical analysis role
Understanding of data warehousing and data modeling
Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.)
Excellent communication (verbal, written, and data presentation) and interpersonal skills to effectively communicate with both business and technical teams
Ability to deal with ambiguity and competing objectives in a fast paced environment
Company is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
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