ADCI – HYD | Jobs | Business Intelligence Engineer, JWO | BigDataKB.com | 27-03-22

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    Job Location: Hyderābād

    BS in Industrial Engineering, Statistics, Computer Science, Math, Finance, Operations Research or other quantitative field

    5+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments

    3+ years of experience in data mining and dataset preparation using SQL

    3+ years of experience in data visualization tools like Tableau.

    Strong critical thinking skills and attention to detail

    Experience in designing and building data infrastructure / automated reporting tools

    Strong interpersonal and communication skills. Must be able to explain technical concepts and analysis clearly to a diverse audience, including senior executives, and be able to translate business objectives into actionable analyses

    Job summary

    • This position would ideally be located in Hyderabad

    The Team

    Amazon Physical Stores is more start-up than big-company, a group of entrepreneurial, analytical, and creative leaders with innovation at our core. We’re pushing the state of the art in helping customers shop in engaging, fast, and safe ways. To date we’ve created stores that let you use an app to enter, take what you want from our fresh selection, and go (Amazon Go); a smart shopping cart that uses computer vision algorithms and sensor fusion to let you skip the checkout line (Amazon Dash Cart); and contactless services that let you pay, enter or identify yourself (Amazon One). Note: The specific team is internally and tech focused to delivery scalable solutions.

    Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.

    As a Business Intelligence Engineer, you will generate insights that will guide operational excellence and product development for our customers. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions.

    Key job responsibilities

    Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

    Interface with business customers, gathering requirements and delivering complete reporting solutions

    Provides input and recommendations on technical issues to BI engineers and business analysts

    Interface with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources

    A day in the life

    This position will closely work with CXQO operations team to develop dashboards to analyze data for determining root cause, building business insights and dive deep.

    It involves complex analysis and diving deep into key metrics based on requests, building and maintaining multiple databases.

    About the team

    We have BIEs and DEs in our team to support analytics,data and reporting needs for DS, SDE and PMs across JWO team

    Experience with SQL

    Experience with Python or other relevant scripting language

    Experience with relational database design and architecture

    Experience visualizing data in Tableau or other relevant data visualization software

    Apply Here

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