Business Analyst

Competitive salary
23 Feb 2021
25 Feb 2021
Job role
Business analyst, CFO
Amazon has invented reinvented on behalf of the consumer over the past 20 years and has become the largest internet retailer and marketplace in the world. Through an entrepreneurial and innovative culture, Amazon has also developed new technologies and products like Kindle Fire tablets and e-Readers. Amazon is now reinventing on behalf of the Indian customer and is looking for a creative and analytically strong Business Analyst who shares our vision of building the Earth's most customer centric company. marketplace represents an incredible opportunity as we bring all our learnings and an open mind to address the needs of a young marketplace. We are solidly focused on building solutions that enable a robust and sustainable business. To achieve our objective, we are looking to hire someone who can help answer tough business questions, dive deep to solve business problems through data and help improve the data consumption process for the customer returns team.
Customer returns is a high visibility high stakes program which has a visible and direct bearing on the overall business. As a member of this team you will work with program leaders to understand customer returns and validate the effectiveness of proposed solutions. You will own the creation of data assets to provide continuous feedback to the business leadership to understand the customer returns landscapes. Along the way you will gain a broad knowledge of how all of the many pieces work in tandem that make the complex entity that is as we know and expect.
In this role, you will work cross-functionally with stakeholders to build and manage the analytics roadmap for customer returns. You will engage with our senior leadership to evangelize, influence and drive action on your analytical narratives. Staying true to our culture, this role is hands-on. At Amazon, you will have the opportunity to immerse yourself into one of largest and richest retail data repositories on earth. You will conceive and use robust analytical frameworks to generate insights that help solve complex business problems.

• • Working as a part of a cross functional collective, interfacing with Business, Finance and Technology stakeholders, both gather information and serve requirements
• • Effectively working with complex data sets with minimal guidance, including cleaning and wrangling data to quickly unearth insights and trends and effectively communicating these to leadership through appropriate data summaries, visualisations and narratives
• • Answer business questions and provide recommendations through a combination of descriptive, inquisitive and prescriptive analytics
• • Creation of data assets that will democratize consumption across the org. Creating weekly, monthly and quarterly business review scorecards with high degrees of automation and minimum recurring manual effort

Basic Qualifications:
• Bachelor's degree in Business, Engineering, Statistics, Mathematics or a relative quantitative field
• 5+ years of relevant work experience in analytics
• Advanced knowledge of SQL, writing complex and optimized production-ready SQL queries. Experience in extracting and transforming raw granular data and abstracting information, insights and recommendations suitable for consumption by leadership
• Experience in building dashboards
• Excellent communication skills, both verbal and written to clearly communicate insights and actions to leadership as well as stakeholders
• Demonstrated ability of solving complex problems and attention to detail
• Ability to deal with ambiguity and competing objectives in a fast paced environment
• Exposure to ML algorithms and modelling techniques
• Knowledge of a scripting language such as R or Python

Preferred Qualifications:
• 5+ years of relevant work experience in advanced analytics
• Strong operational business understanding, including potential impact of business decisions on various internal/external stakeholders
• Proficiency in a statistical or analytical language such as R or Python
• In depth understanding of machine learning algorithms and modelling techniques
• Experience in building predictive models

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