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Amazon Sr. Business Intel Engineer, Operational Reporting and Analytics in Austin, Texas

Description

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. This role is in Amazon's Worldwide Grocery Stores Tech Data and Analytics organization. We work with all aspects of the grocery business (e.g., Merchandising, Pricing, Promotion, Supply Chain, Finance, Marketing, Space Planning, etc.). We own and develop within an in-house platform to configure and build Analytics Solutions across multiple business domains.

This role is both creative and data driven – we need someone who can review our current infrastructure, isolate improvement opportunities, help us think big about what to consider in terms of localization, scalability, commodity management, and long term automation. We are looking for someone who will scope and execute analyses to formulate conclusions and recommendations to be presented to senior leadership on business growth opportunities. You will also be responsible for producing insights that will help shape effective strategies to better meet our customers’ needs. You will work closely with internal teams, and partners across the grocery business line and other partner teams in these areas to provide decision support in this rapidly evolving space.

This role requires an individual with deep knowledge of business intelligence solutions, and have the ability to work with technology, product development, and business teams. The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate Amazon’s approach to this space

Key job responsibilities

  • Develop new and innovative analyses to inform product strategy and design. This analysis will determine approach and roadmap for key strategic initiatives.

  • Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our product and strategy decisions.

  • Develop clear communications for recommended actions.

  • Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives.

  • proactively and continually improve your level of knowledge about Amazon’s Grocery business, the business processes in the domain of your key stakeholders, and relevant technologies supporting those processes.

  • understand functional requirements and work to improve the end user experience for the application supported.

  • employ modeling and flowcharting techniques to communicate technical solutions in a simple but effective manner.

  • Collaborate with Product Managers and stakeholders to define deliverables and timing.

  • work with Product Managers to build mockups and prototypes of applications or reports

  • analyze data and design data models to support Applications and Analytics

About the team

We enable sophisticated, fact-based decision making across Amazon Grocery by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day and have the opportunity to redefine the grocery industry while collaborating with multiple teams across WFM and Fresh. You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture. You will be based out of Austin, TX, one of the best places to live and work.

Basic Qualifications

  • 10+ years of professional or military experience

  • 5+ years of SQL experience

  • Experience programming to extract, transform and clean large (multi-TB) data sets

  • Experience with theory and practice of design of experiments and statistical analysis of results

  • Experience with AWS technologies

  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.

  • Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

  • Experience working directly with business stakeholders to translate between data and business needs

  • Experience managing, analyzing and communicating results to senior leadership

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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