Company Name:-
ASSPL – Karnataka

Job Location:-
Bengaluru, Karnataka

Job Summary:-
3+ years relevant experience in financial/business analysis
Experience defining requirements and using data and metrics to draw business insights
Experience making business recommendations and influencing stakeholders
Experience with SQL
Experience in Excel
Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Economics, Finance, or related field
Experience collaborating with business, technical and engineering teams
Knowledge of ML and predictive modelling
Excellent written and oral communication and presentation skills and the ability to express thoughts logically and succinctly.

Are you customer obsessed, flexible, smart and analytical, strategic yet execution focused and passionate about e-commerce? Are you an experienced, entrepreneurial leader with a strong work ethic? If yes, this opportunity will appeal to you.

Amazon Global Trade is an important initiative to grow the Amazon Marketplace Seller Business around the world, with the India team focused on cross-border selling from sellers in India catering to customers abroad and sellers across the globe catering to customers in India.

The Global Trade team is looking for an experienced analytics professional who can use advanced analytics and statistical techniques to help sellers grow and optimize on the Amazon platform.

To be successful in this role, you will have a passion for using ML models and statistical analysis to solve business problems.

You will have the ability to roll up your sleeves, innovate, and quickly become a subject matter expert to assess business performance across sellers and market segments.

You will be a self-starter who is willing to work hands-on, is comfortable with ambiguity and large data sets.

You will have have significant experience working with statistical analysis tools for analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner.

The candidate will have demonstrated proficiency in SQL across variety of databases, BI tools, R or Python to analyze large data sets.

Demonstrated experience in building ML models
MBA or Master’s degree in a quantitative field such as Analytics, Mathematics, Statistics, Engineering, Comp

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