Job Description
As an Analyst on the Macro Space Analytics (MSA) team, you will support strategic space allocation and optimization decisions for new stores, remodels, reflows, and fixture projects. You will serve as the subject matter expert on MSA data and reporting - maintaining and evolving dashboard reporting as new data pipelines come online - while providing category space guidance and optimization recommendations to partner teams. This role requires you to navigate incomplete data sets, collaborate across multiple cross-functional teams (Merchandising, Store Design, Tech, Data Science, Finance), and translate complex analyses into clear, actionable space allocation recommendations. The ideal candidate is a self-directed, creative thinker who thrives in ambiguity and can tell a compelling story with data.
Key job responsibilities
Serves as subject matter expert on MSA data and reporting, identifying risks to data accuracy and partnering across teams as new data pipelines are established.
Maintains and evolves dashboard reporting with new data streams and tool capabilities; creates new reporting as needs arise.
Provides category space guidance and optimization recommendations to support partner teams with space allocation tools and understanding the impact of category space trades.
Supports Test & Learn framework improvement to better understand impacts of space changes; partners with Product, Tech, and Merchandising Presentation on space change recapping.
Collaborates with Tech/Data Science teams to continue evolving space elasticity modeling for optimization.
Transforms complex data into actionable recommendations through strong storytelling, communicating key themes and patterns to business partners to influence decisions.
Skills
Experience analyzing and visualizing data to deliver actionable, persuasive recommendations that drive business decisions.
Ability to tell clear, concise stories with complex data across varied audiences.
Creative problem-solving skills with the maturity to handle ambiguity and flexibility to perform in a dynamic, collaborative environment.
Experience identifying data needs and articulating requirements to data engineers.
Proficient in Excel; intermediate familiarity with SQL, Python, Tableau/Dashboard Tooling, and/or Alteryx.
Strong communication skills - listening, verbal, and written - with the ability to build effective cross-functional relationships.
Numbers & Facts
| Location | Austin, TX |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Skills
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