Job Information
Amazon Business Intelligence Engineer in Bengaluru, India
Description
Amazon Operations Finance team is seeking an inventive Engineer who will work with the business teams to identify opportunities and build efficient solutions using Oracle, Redshift/AWS, IBM Cognos, Mega/XML platforms.
Key job responsibilities
. Interface with business customers, gather requirements and deliver complete automated reporting solutions
· Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
· Develop automated solutions that improve productivity and fill gaps in toolsets available to the business teams
· Support a platform providing ad-hoc access to large datasets.
· Collaborate with other Technical and Operations teams across the company to promote best practices and share solutions
· Partner with finance and business teams and come up with insights on the business.
Specific responsibilities include:
· Developing and maintaining automated metrics reports
· Analyzing and improving metrics to support business needs
· Collaborating with research team to benchmark and validate algorithms
· Maintaining/improving database, manipulating data as needed to solve reporting problems.
· User support for reporting and portal issues, as well as overall troubleshooting support for any platform issues.
· Development, maintenance, and delivery of formalized training programs, including documentation, in-person courses, virtual training, and video-based instruction
We are open to hiring candidates to work out of one of the following locations:
Bengaluru, KA, IND
Basic Qualifications
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)
Preferred Qualifications
Master's degree, or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis, co-relation analysis