Description

　　Amazon's Retail Business Services team is looking for talented Business Intelligence Engineer (BIE) , who enjoys the challenge of diving into complex business problems, providing data driven insights, and making recommendations that directly impact business. As a BIE, you will use broad technical skills to build analytic and reporting capabilities. The ideal candidate is a highly analytical, critical thinker with advanced problem solving, data mining, analytics and data engineering skills. They will enjoy working with research scientists, program managers, product managers, and data engineers to drive decisions. Successful members of this team are customer obsessed, flexible, and collaborative team players who enjoying working across functions and organizations to solve problems and get results. They thrive in ambiguity, ask hard questions, and build scalable solutions that provide critical business insights necessary to influence decision making across organizations. They find timely answers buried in large data sets and complex systems, identify root causes, and are obsessed with generating business insights. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply technical and engineering expertise to rapidly prototype and deliver solutions.

　　The individual will be tasked to:

　　Perform simultaneous large, complex, and business critical analyses that serve major parts of the business.

　　Develop scalable models and tools that speed up both decision making and accuracy for the team.

　　Be a key influencer in strategy and contribute significantly to team planning.

　　Show good judgement making technical trade-offs between the team’s short term and long term business needs.

　　Navigate discordant views, find the best way forward, and influence stakeholders around a solution.

　　In this role, responsibilities will include:

　　Defining, developing, and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis

　　Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations

　　Collaborating with product and software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of models (heuristics, machine learning)

　　Mining and manipulating data from database tables, simulation of results and log files

　　Identifying data needs and driving data quality improvement projects

　　Understanding the broad range of Amazon’s data resources, which to use, how, and when

　　Thought leadership on data mining and analysis

　　Modeling complex/abstract problems and discovering insights using statistics, data mining, and visualization techniques

　　Helping to automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate insights to the business teams

　　Collaborating effectively with internal end-users, cross-functional development teams, and technical support/sustaining engineering teams to solve problems and implement new solutions

　　We are open to hiring candidates to work out of one of the following locations:

　　Bangalore, KA, IND | Chennai, TN, IND

　　Basic Qualifications

　　10+ years of professional or military experience

　　5+ years of SQL experience

　　Experience programming to extract, transform and clean large (multi-TB) data sets

　　Experience with theory and practice of design of experiments and statistical analysis of results

　　Experience with AWS technologies

　　Experience in scripting for automation (e.g. Python) and advanced SQL skills.

　　Experience with theory and practice of information retrieval, data science, machine learning and data mining

　　Preferred Qualifications

　　Experience working directly with business stakeholders to translate between data and business needs

　　Experience managing, analyzing and communicating results to senior leadership