Jobs for People with MS: National MS Society

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Amazon Business Analyst, AMXL (Amazon Extra Large) in London, United Kingdom

Description

Do you pioneer?

Do you enjoy breaking down and solving complex problems for the benefit of a quickly expanding customer base, focusing first on our customer and working backwards? Do you want to be part of a newly formed organization that is designing and launching new business models across the world? If so, the AMXL supply chain team is looking for an experienced leader with a strong record of achieving results, to create and execute the worldwide AMXL supply chain by working closely with our retail and operations partners across the globe in order to effectively manage volume flows and fullness for our fulfillment centers and delivery stations. The role requires heavy index on dive deep, bias for action, and ownership.

Amazon Extra Large (AMXL), formerly known as Special Handling, obsesses over customers by offering a white glove service where we deliver TVs and other large items like furniture in customers homes. Not only do we deliver large parcels, we unpack, assemble, install and sometimes even do tests, hauling away old items as needed. As we head into Peak, we continue to build our special handling fulfillment, delivery and services network and will add more fulfillment centers and delivery stations across NA and EU. We are currently in the process of building out a network that is poised for big growth in the coming years.

The Business Analyst will support the rapid growth of this initiative by developing business metrics, mining data to uncover consumer insights and business opportunity, and partnering with internal stakeholders to drive the business. The ideal candidate will be highly analytical with proven experience delivering results.

Specific responsibilities include identifying the necessary metrics and creating reports to increase understanding of the business, proactively identifying pain points or opportunities through systemic measurement. The Business Analyst will be detail oriented, and possess expertise in both qualitative and quantitative analysis with a passion for delivering actionable insights to key stakeholders. The right candidate will blend advanced reporting with strong critical thinking and project management skills.

Responsibilities include:

• Retrieving and analyzing data using Excel, Access and other data management systems.

• Monitoring existent metrics, analyzing data and partnering with internal teams to identify process and system improvement opportunities.

• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.

• Supporting cross-functional teams on the day-to-day execution of the existent program implementation.

• Driving small to medium operational enhancement projects.

Key job responsibilities

• Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions

• Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity).

• Analyze and visualize large scale geo-spatial logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation.

• Serve as liaison between operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.

• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

Basic Qualifications

  • Experience in tax, finance or a related analytical field

  • Experience writing complex Excel VBA macros

  • Bachelor's degree or equivalent

  • Experience defining requirements and using data and metrics to draw business insights

  • Experience with SQL or ETL

Preferred Qualifications

  • Experience working with Tableau

  • Experience using very large datasets

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).

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