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01/04 Roopashri MV
Recruiter at Amazon

Views:18714 Applications:795 Rec. Actions:Recruiter Actions:78

Amazon - Senior Business Intelligence Engineer - IIM/IIT/ISB/FMS/BITS/NIT (6-15 yrs)

Bangalore Job Code: 909316

Qualification : BE and MBA from Premiere institute

As a BIE/BA/DE within the group, you will work closely with program managers, software developers, research scientists, and product managers to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE/BA/DE embedded in the business team you have the opportunity to participate and shape program development as well as leverage your technical skills. This position provides opportunities to influence high visibility/high impact areas in the organization.

This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply your technical and engineering expertise to rapidly prototype and deliver solutions. This skill also requires you to work across a variety of teams, including transportation, operations, finance, category, delivery experience, and inventory platform (software) teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon's strategic needs.

We are NOT a reporting team and we are not looking for reporting analysts. We are looking for people with a flair for recognizing trends and patterns while correlating it to the business problem at hand. If you have an uncanny ability to decipher the exact policy/mechanism/solution to address the challenge and ability to influence folks using hard data (and some tact) then we are looking for you!

Primary Responsibilities :

You will perform complex data analysis (root cause deep dives, correlations, regressions, simulations, optimization) to identify different opportunities to reduce ship costs, increase fill rate, lower inbound costs, improve perfect order % and set priorities to improve them.

You will own end-to-end program management. You will not only develop insights but devise realistic plans and work with key stakeholders (software managers, product managers, retail business managers, sellers, transportation planners/managers, and warehouse managers ) to execute them.

You will be responsible for achieving XX million Dollar actual savings on the bottom line or adding YY million Dollar to top line. You will not be responsible for only "recommendation" but actual improvements made to bottom or top line.

You will engage with senior leadership on drafting proposals for new concepts, improvement plans, 3-year strategy and outlook.

You will be a subject matter expert in best in class supply chain optimization policies at Amazon. You will understand intricate details of our fulfillment and ordering systems along with their impact on ground-level

Secondary Responsibilities :

You will design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance.

You will build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions. You have the freedom to define data extraction tools and dashboards the team should acquire provided you can justify the cost (Amazon frugality!).

You will work with large data sets, automate data extraction, and build monitoring/reporting dashboards and high- value, self-service automated BI solutions. We spend 0 hours in developing metrics or any non-value added workaround

Responsible for up skilling team data management and analytical capabilities by mentoring program managers, junior/peer analysts, and senior managers.

Basic Qualifications

5 to 12 years of experience as a Data or BI Engineer dealing with large complex data scenarios. 5+ if you have a Master's Degree.

Familiarity with supply chain management concepts - planning, forecasting, optimization, and logistics - gained through work experience or graduate level education.

Expert in data extraction experience using SQL. We expect robust basic foundational skills in SQL extraction. You are not expected to write Procedures or Trigger Functions.

ETL experience and basic/intermediate familiarity with Linux preferred. Intermediate skills with Ruby, Perl, Python or, at least, one similar scripting language. If you can understand a code and have the knack to learn then you should be covered.

Strong understanding of BI technologies and their application including database warehousing and dashboarding

Experience on at least one data visualization tools (e.g. OBIEE, Tableau, QlikView)

Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams

Preferred Qualifications :

Master's degree in Industrial Engineering, Logistics, or another quantitative field preferred. Bachelor's degree or experience in computer science or another technical field is highly desired.

Technical aptitude and familiarity with the design and use of complex supply chain software systems.

Experience working effectively with software engineering teams. Analysts are not expected to write code, but it helps to be able to read it.

Experience communicating with senior management (VP level decision makers) as well as with colleagues from computer science, operations research, and business backgrounds.

A Strong individual contributor who can work with minimal direction and oversight.

Experience leading 1-2 analysts.

Amazon is an equal opportunity employer. Amazon or its Recruitment Partners do not charge any fee or security deposit from the candidate for offering employment.

Women-friendly workplace:

Maternity and Paternity Benefits

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