Business Intelligence Engineer
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