Company Name:-
ASSPL – Karnataka

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Bachelor’s degree in Analytics, Engineering or a related field
5+ years of professional experience in analytics, business analysis or comparable consumer analytics position
Advanced working knowledge of data mining using SQL, ETL, data warehouse as well as Excel
Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.

High business accumen, problem solving skills, project management skills, attention to detail, and exceptional organizational skills
Ability to deal with ambiguity and competing objectives in a fast paced environment
Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
Excellent organizational skills including prioritizing, scheduling, time management, and meeting deadlines
A self starter, who proactively converts gaps into opportunities

At Amazon, we are working to be the most customer-centric company on earth.

To get there, we need exceptionally talented, bright and driven people.

Are you relentless? Are you passionate about leveraging data to deliver actionable insights that could impact the daily business decisions at Amazon India? Does the prospect of dealing with massive volumes of data excite you? Do you love using data to answer challenging product and customer behavior questions? Would you like to be part of the next big thing while it’s still day one?

This role is with the Direct Fulfillment team of Amazon.

We are looking at a Business intelligence engineer to drive business analytics and decision making charter for IN Direct fulfillment team.

This role is data and analytics heavy and will require deep dive into various business and ops facing metrics, create customized IN specific data sources for data extraction and build real-time data insights tools and dashboards.

You will be required to work closely with DF program and product teams and build tools to analyze DF business and product adoption metrics.

You will used advanced analytical techniques to develop solutions that answer business questions related to selection performance and customer experience.

It also provides you an opportunity to come up with data dri

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