Business Intelligence Engineer II
Amazon is hiring a Business Intelligence Engineer II in Bengaluru, India. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions Tableau, Quicksight and PostgreSQL among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Business Intelligence Engineer driving data analysis, automated reporting, and insights for regulatory intelligence and safety.
This role will be a key member of the Analytics team, responsible for driving analysis and insights to help make meaningful business decisions. As a BIE, you will focus on improving the success within business functions by analyzing data, discovering and solving real world problems, building metrics and business cases to improve customer experience, and providing timely data support for escalations to mitigate risk. We are focused on your success and want to build future leaders within Amazon. A key component of the role is to identify process and system improvement opportunities by developing the right metrics, analyzing data, and partnering with internal teams. In addition, you will design and develop automated reporting solutions to enable stakeholders to manage the business and make effective decisions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.
This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and business acumen. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate in this space.
Key job responsibilities
- Creating automated reports and dashboards with a combination of BI tools such as Tableau, Quicksight etc.
- Partnering with Program team, Legal, and Tech stakeholders to understand challenges and provide /analysis to help drive program success
- Providing data support for business and cross-functional partners to address escalations and answer questions using PostgreSQL and AWS solutions
- Uncovering trends and correlations through mining and analysis to develop insights that can help stakeholders to make effective decisions
- Designing and executing analytical projects using statistical analysis
- Build self-service solutions that empower stakeholders to access and analyze data independently.
About the team
Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
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 at Amazon rates 0 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where statistical analysis was part of your work. What did you do?
- Tell me about a project where dashboard development was part of your work. What did you do?
- Walk me through how you've used Tableau in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Business Intelligence, Data Analysis, Statistical Analysis, Dashboard Development, and Tableau. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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