Business Analyst, Amazon Business India Job Vacancy in AWIPL – Karnataka Bengaluru, Karnataka – Updated today

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Company Name : AWIPL – Karnataka
Location : Bengaluru, Karnataka
Position :

Job Description : Bachelor’s degree in Business Administration, Finance, Computer Information Systems, Engineering, Operations Research, Mathematics or other business disciplines or equivalent experience
2+ years in relevant experience as business analyst, data engineer, software engineer, business intelligence engineer, or equivalent.
Experience using AWS technologies such as Redshift, S3, EC2, EMR and data pipelines
Proficiency with data querying or modeling technique with SQL
Experience with Business Intelligence technologies like Quicksite, Tableau, OBIEE etc.
Experience defining and driving a BI roadmap.
Data Warehousing Experience with Oracle, Redshift, Teradata, etc.
A desire to work in a collaborative and curious environment

Job summary
Amazon Business (business.amazon.in) launched in India in September 2017 with the vision to be the destination for all businesses in India to find, discover and buy for all their business needs, and it is still day 1 for us. Amazon Business represents an incredible opportunity to address a vast new market segment and customer base and is an area of high interest for Amazon. We are focused on building solutions that enable the B2B customer to find, research, and buy products and services from a vast selection, across multiple devices, marketplaces and regions. Our customers include individual professionals, small businesses to large institutions (and everything in between). Our business customers have different needs than the traditional Amazon customer and we are reinventing everything from how we display our selection, price our products, and provide the right customer experience.

The ideal candidate is highly analytical, resourceful, customer-focused, and collaborative. They will have a strong understanding of different businesses and the underlying analytics, and the ability to translate business requirements into analysis, collect and analyze data, and make recommendations back to the business. The candidate for this role will be required to continuously learn new systems, tools, and industry best practices to help design new studies and build new tools that help our team automate and accelerate analytics. The candidate is also expected to collaborate with Amazon Business worldwide teams to tailor global solutions for India.

Key job responsibilities

Design automated BI solutions for recurrent reporting
Independently work with business stakeholders to run fortnightly Sprint meetings
Partner with Data and Software engineering team to define the data elements and data structure that the team should leverage to enable analytical capabilities
Automate processes which enable in-depth analysis
Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions
Publish, analyze and improve dashboards, operational business metrics decks and key performance indicators
Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics

About the team
Whether shopping for home or work, people value Amazon for its convenience, selection, and value. But businesses and organizations—from sole proprietorships to large enterprises, governments, schools, and healthcare organizations—have different needs than individual buyers. That’s why we created Amazon Business.

With business-relevant selection, innovative tools and features like Bulk purchases, GST invoices, plus the convenience and value of Amazon, organizations of any size can simplify buying and drive toward their next stage of growth. Amazon Business helps leaders reshape the purchasing process to move their organizations forward.

Master’s degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance or related field required.
2+ years in relevant experience as data scientist, data engineer, software engineer, business intelligence engineer, or equivalent.
Experience in data mining, SQL, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
Analyst in a company with large, complex data sources and cross functional collaboration.
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets.

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