Amazon Business Research Analyst – ARTS 

India, Karnataka 

326919045

Overview of the role
Key Responsibilities for this Role:-
• Scoping, driving and delivering complex projects across multiple teams.
• Performs root cause analysis by understand the data need, get data / pull the data and analyze it to form the hypothesis and validate it using data.
• Dive deep to drive product pilots, build and analyze large data sets, and construct problem hypotheses that help steer the product feature roadmap (e.g. with use of R,SAS, STATA, Matlab, Python or JAVA), tools for database (e.g. SQL, Redshift) and ML tools (Rapid Miner, Eider)
• Build programs to create a culture of continuous improvement within the business unit, and foster a customer-centric focus on the quality, productivity, and scalability of our services.
• Find the scalable solution for business problem by executing pilots and build Deterministic and ML model (plug and play on readymade ML models and python skills).
• Manages meetings, business and technical discussions regarding their part of the projects.
• Makes recommendations and decisions that impact development schedules and the success for a product or project.
• Drives team(s)/partners to meet program and/or product goals.• Supports identification of down-stream problems (i.e. system incompatibility, resource unavailability) and escalate them to the appropriate level before they become project-threatening.
• Performs supporting research, conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities, optimize processes, and implement changes within their part of project.
• Ability to convince and interact with stakeholders at all level either to gather data and information or to execute and implement according to the plan.
• Ability to deal with ambiguity and problem solver
• Build reports from established data warehouses and self-service reporting tools
• Communicate ideas effectively and with influence (both verbally and in writing), within and outside the team.Key Performance Areas:
• Solve large and complex business problems by aligning multiple teams together.
• Data analytics and Data Sciences
• Machine learning

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Bachelor's degree
- 3+ year on Python or R experience
- 1+ year experience in financial/business analysis
- 2+ year on SQL
- 2+ year ML project experience
- 2+ year on use experience of data analysis packages (Numpy, Pandas, Scipy etc.)

- Knowledge of data modeling and data pipeline design
- NLP and Text Processing
- Deep Learning