Business Intel Engineer II, IES CFX & Prime
Amazon
Business Intel Engineer II, IES CFX & Prime
Job Description
The role of the IES CFX business is to provide ultrafast speeds (2 hour and same day scheduled) and reliable delivery for selection that customers need, providing best-in-class return experience while aiming for net zero defect costs, along with a taste of Prime. The business is highly cross-functional in nature, operations intensive and requires a number of India-first solutions to be created, which then need to be scaled to Emerging marketplaces. In this context, we are looking for a talented, driven and experienced Business Intelligence Engineer. It is a pivotal role that will contribute to the evolution and success of one of the fastest growing businesses in the company. Joining the Amazon team means partnering with a dynamic and creative group who set a high bar for innovation and success in a fast-paced and changing environment. The Business Intelligence Engineer is responsible for being able to influence critical business decisions using data and providing insight to category teams to be able to act. The successful candidate needs to have : A passion for numbers, data and challenges. High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Excellent verbal and written communications skills. An ability to work in a fast-paced, complex environment where continuous innovation is desired. Bias for action and ownership. A history of teamwork and willingness to roll up one’s sleeves to get the job done. Ability to work with diverse teams and people across levels in an organization Proven analytical and quantitative skills (includes the ability to effectively use tools such as Excel and SQL) and an ability to use hard data and metrics to back up assumptions and justify business decisions. Key job responsibilities Key job responsibilities 1. Influence business decisions with data. 2. Use data resources to accomplished assigned analytical tasks relating to critical business metrics. 3. Monitor key metrics and escalate anomalies as needed 4. Provide input on suggested business actions based on analytical findings.
Locations
- Bengaluru, Karnataka, India
Skills Required
- data visualization using Tableauintermediate
- data modelingintermediate
- Statistical Analysis packages such as Rintermediate
- SQL to pull data from a databaseintermediate
- SQLintermediate
- Python scripting to process data for modelingintermediate
- Microsoft Excel at an advanced levelintermediate
- AWS solutions such as EC2intermediate
- data miningintermediate
Required Qualifications
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience (experience, 5 years)
- 3+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience (experience, 3 years)
- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience (experience, 2 years)
- Experience with data visualization using Tableau, Quicksight, or similar tools (experience)
- Experience with data modeling, warehousing and building ETL pipelines (experience)
- Experience in Statistical Analysis packages such as R, SAS and Matlab (experience)
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling (experience)
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse (experience)
- Experience using Python scripting to process data for modeling (experience)
Preferred Qualifications
- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field (degree in above in bi)
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. (experience)
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift (experience)
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets (experience)
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business (experience)
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