Business Intelligence Engineer, JWO
- Salary
- ₹23–39 LPA
- Location
- Hyderabad
- Level
- Mid
- Experience
- Intermediate · 2+ years
About company
· Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation · Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations. · Develop metrics that helps support product category growth and expansion plans Serve as liaison between the Business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience in Statistical Analysis packages such as R, SAS and Matlab - Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
About Amazon
Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.