Senior Analyst, Global Finance, Merchandise Analytics, Gap Brand - New York, NY Job Listing at Gap Inc. in NEW YORK, NY

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Title: Senior Analyst, Global Finance, Merchandise Analytics, Gap Brand - New York, NY
Location: US-NY-NEW YORK
Other Locations:
General Summary- This role will report into the Director of Merchandise Analytics and will support global merchandising and financial strategies to drive increased productivity and profitability

Analytics Responsibilities:
• Build data mining and data visualization techniques to support analytics for the global merchandising organization
• Identify and execute automation and process improvement strategies to support global reporting and tools for the merchandising organization
• Provide in-depth analysis and actionable insights to identify opportunities and support global assortment and price optimization, with a focus on increased productivity and profitability
• Design and execute best in class” global analytic tools and reporting to support meetings and influence decision-making process
• Develop expertise in all systems, databases, and analytics initiatives; identify and work to solve gaps and roadblocks to unlock” potential insights, particularly with location and product attributes; find and apply optimal solutions for global merchandising organization.
Relationship building:
• Partner with cross-functional analytics teams, including operations strategy, Business Intelligence, and inventory management to drive execution of merchandise analytics insights
• Partner with director to balance workload and priorities; solicit decision support when needed
• Participate in company/corporate initiatives and be a true thought partner in driving productivity
• Strong mathematical and statistical aptitude with an ability to synthesize large amounts of data and complex operational processes to develop actionable insights
• Experience in integrating data across multiple platforms and systems
• Expertise in working with and mastering various business intelligence systems and databases as well as data visualization tools; SQL and SAS code strongly preferred
• Working knowledge of applicable gap systems desirable (Microstrategy, SAS Stat, Teradata)
• Willingness to challenge the status quo to improve efficiency and effectiveness
• Proven ability to manage multiple tasks and adapt to a changing, fast paced environment
• Flexible and adaptive to changing priorities with a willingness to learn and improve processes
• Ability to work independently and with teams interchangeably to deliver results
• Bachelor’s degree or equivalent experience required
• 2-4 years experience of relevant work experience in data analytics