Business Intelligence Engr II, BIE – Analytics Technology and Engineering (ATE) Job Vacancy in ADCI HYD 13 SEZ Bengaluru, Karnataka – Updated today

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Company Name : ADCI HYD 13 SEZ
Location : Bengaluru, Karnataka
Position :

Job Description : Bachelor or Master’s Degree in Data Science, Analytics, Engineering, Computer Science, Math, Statistics, Logistics or related industry experience.(Min 5 yrs)
Solid experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and data visualization tool (e.g. Tableau).
Experience articulating business questions and using quantitative techniques to arrive at a solution using available data.
Excellent written, verbal, listening and communication skills.

Job summary
Job Description
Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems? Are you interested in driving the development of methods, models and systems for strategy planning, transportation and fulfillment network? If so, then this is the job for you.

Our team is responsible for creating core analytics tech capabilities, platforms development and data engineering. We develop scalable analytics applications and research modeling to optimize operation processes. We standardize and optimize data sources and visualization efforts across geographies, builds up and maintains the online BI services and data mart. You will work with professional software development managers, data engineers, scientists, business intelligence engineers and product managers using rigorous quantitative approaches to ensure high quality data tech products for our customers around the world, including India, Australia, Brazil, Mexico, Singapore and Middle East.

Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in the development of strategic models and automation tools fed by our massive amounts of available data. You will be responsible for building these models/tools that improve the economics of Amazon’s worldwide fulfillment networks in emerging countries as Amazon increases the speed and decreases the cost to deliver products to customers. You will identify and evaluate opportunities to reduce variable costs by improving fulfillment center processes, transportation operations and scheduling, and the execution to operational plans. You will also improve the efficiency of capital investment by helping the fulfillment centers to improve storage utilization and the effective use of automation. Finally, you will help create the metrics to quantify improvements to the fulfillment costs (e.g., transportation and labor costs) resulting from the application of these optimization models and tools.

Major responsibilities include:

Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available.
Apply Statistical and Machine Learning methods to specific business problems and data.
Create global standard metrics across regions and perform benchmark analysis.
Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
Develop efficient data querying and modeling infrastructure.
Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.
Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models.
Master Degree in Data Science, Analytics, Engineering, Computer Science, Math, Statistics, Logistics with 5+ years of relevant experience.
Experience working with data visualization tools and creating data visualization concepts, such as Tableau or equivalent.
Hands on experience with statistical analysis, applying various machine learning techniques, predictive modeling and data mining.
Experience of statistical analysis and tools such as SAS, R, or equivalent.
Fluency in a scripting or computing language. (e.g. Python, C++, Java, etc.)
Natural curiosity and desire to learn.
Experience in supply chain or operations optimization a plus.

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