Business Intelligence Engineer

1 week ago


Bengaluru, Karnataka, India ASSPL - Karnataka Full time
Job Description

ASSPL - Karnataka is seeking a highly skilled Business Intelligence Engineer to join our ROW Supply Chain Analytics team. As a Business Intelligence Engineer, you will play a critical role in developing solutions to better manage and optimize speed and operations planning, while providing the best experience to our customers at the lowest possible price.

Key Responsibilities
  • Analyze historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
  • Collaborate with product and software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of analytical and machine learning models.
  • Mine and manipulate data from database tables, simulation results, and log files.
  • Identify data needs and drive data quality improvement projects.
  • Understand the broad range of Amazon's data resources, which to use, how, and when.
  • Thought leadership on data mining and analysis.
  • Model complex/abstract problems and discover insights and develop solutions/products using statistics, data mining, science/machine learning, and visualization techniques.
  • Help automate processes by developing deep-dive tools, metrics, and dashboards to communicate insights to business teams.
  • Collaborate effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems and implement new solutions.
Requirements
  • 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.


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