You’re an original. So are we.
We’re a company of people who like to forge our own path. We invented the blue jean in 1873, and we reinvented khaki pants in 1986. We pioneered labor and environmental guidelines in manufacturing. And we work to build sustainability into everything we do. Our brands stand for freedom and self-expression around the world.
Where we lead, others follow. For more than 160 years, we’ve used the strength of our brands to lead with our values and make an outsized impact on the world. We employ more than 15,000 people globally to support our great brands: Levi’s®, Dockers®, Denizen® and Signature by Levi Strauss & Co.™ and Beyond Yoga.
The Dockers MP-IM (Merchandise Planning, Inventory Management) Business Intelligence Tools Analyst will develop and publish regular Reports and Dashboards to cross functional teams within the department, educate them on self-service data accessibility and support the Dockers MP-IM team in modelling and Advanced Analytics Projects. This role requires an in-depth understanding of the planning function coupled with exceptional analytical skills and is responsible for helping the team step up their Analytics capabilities.
Optimize and standardize reporting through automation.
Publish on-time business performance planning analytics.
Provide reporting & data for cross-functional teams across pre-season and in-season.
Responsible to investigate and implement ways to streamline current reports and make outputs more insightful.
Partner with Merchandising, Merchandise Planning, and Inventory Management leaders to understand in depth their needs and develop and deliver solutions that will drive strategic business decisions & actions or that will allow their teams to do their job more efficiently.
Support the MP-IM team by working on data exploration and modelling for Advanced Analytics Projects.
Partner with IT support team for all data and reporting issue by evaluating the problems and questions from business users and translating them into actionable guidelines for technical or analytical work.
About You
Bachelor's/Master’s degree in computer science, engineering, statistics, business or finance.
Minimum 3 years of experience in business analytics, retail environment is a plus.
Advanced English language proficiency required.
Experience in computer database management, programming, or software development.
Excellent attention to detail to interpret meaningful themes from quantitative data.
Problem Solving & Root Cause Analysis
Strong project management ability
Advanced knowledge of Excel, MS Office applications, Tableau, Alteryx, Web intelligence (SAP/Webi), SQL, and statistical methods
Ability to write Python or R is a plus.
Possess a clear understanding of financial measurements and how to impact them.
Strong analytical and problem-solving skills; drives for innovative approaches to meet objectives.
Ability to build constructive and effective relationships with a broad, diverse group of business partners, mainly the cross functional team.
Good listening, written and oral communication skills, reflecting an appropriate sense of urgency.
Ability to work in a global collaborative team environment.
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