Business Intelligence Engineer II, Prime Video APAC and ANZ Analytics Team
Amazon is hiring a Business Intelligence Engineer II, Prime Video APAC and ANZ Analytics Team in Mumbai, India. Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classifies it as a mid-level role.
- Level lists 20,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
Prime Video APAC and ANZ team is seeking a Business Intelligence Engineer to drive customer insights for the PV APAC and ANZ analytics team. As a Business Intelligence Engineer, you will generate insights that support Prime Video India's content, programming, marketing, and marketplace lines of business.
The successful candidate will be a self-starter who is comfortable with ambiguity and large data sets. They will have strong attention to detail and an ability to work in a fast-paced and entrepreneurial environment. They will have strong SQL skills, experience building visual dashboards, and the ability to clearly communicate information to business stakeholders.
Key job responsibilities
• Strong interest and ability to take complex datasets and boil them down to actionable data visualizations.
• Own the design, development, and maintenance of ongoing performance dashboards, metrics, reports, analyses, etc. to drive key business decisions.
• Build scalable, efficient, and automated data processes to inform business decision making.
• Proactively develop new metrics and studies to quantify customer behavior and reduce customer churn.
Basic qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- 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 with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse
- Experience using Python scripting to process data for modeling
Preferred qualifications
- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- 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
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Business Intelligence Engineer II, Prime Video APAC and ANZ Analytics Team at Amazon rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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