Business Intelligence Engineer, eCS Data Engineering and Analytics
Amazon · Bengaluru, Karnataka, India
- On site
- Full-time
- ₹1,500,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Engineer metrics models for Amazon's eCommerce systems.
- Analyze data for trends and support decision-making.
- Collaborate on analytics systems and data structures.
- Identify data needs and drive quality improvements.
- Mine and manipulate data from various sources.
About the role
Business Intelligence Engineer, eCS Data Engineering and Analytics
Are you interested in diving deep into the data and engineering the metrics model that drives continuous improvement for Amazon’s eCommerce systems? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon’s products? Then eCommerce Services is the team for you. We are part of building the world's best, most reliable, and most feature-rich eCommerce platform that provides customers the best experience possible and are looking for a top-notch Senior Business Intelligence Engineer.
In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post-fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon’s customers.
We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions.
Key job responsibilities
- Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
- Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
- Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
- Identifying data needs and driving data quality improvement projects.
- Thought leadership on data mining and analysis.
- Understanding the broad range of Amazon’s data resources, which to use, how, and when.
- Mining and manipulating data from database tables, simulation results, and log files.
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 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance 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
Key skills/competency
- Business Intelligence
- Data Engineering
- Data Analysis
- SQL
- ETL
- Data Modeling
- Data Warehousing
- Tableau
- Python
- Statistical Analysis
Skills & topics
- Business Intelligence Engineer
- Data Engineering
- Analytics
- SQL
- ETL
- Data Modeling
- Data Warehousing
- Tableau
- Python
- Statistical Analysis
- Amazon
- eCommerce
- AWS
- Redshift
- BI
How to get hired
- Tailor your resume: Highlight experience with Redshift, Oracle, NoSQL, Tableau, Quicksight, ETL, and Python.
- Showcase analytical skills: Emphasize your ability to analyze data, identify trends, and present findings clearly.
- Demonstrate technical expertise: Detail your experience with data modeling, warehousing, and building ETL pipelines.
- Quantify achievements: Use numbers to show the impact of your work in previous roles.
- Prepare for technical interviews: Be ready to discuss SQL queries, data manipulation, and statistical analysis concepts.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the core responsibilities of a Business Intelligence Engineer at Amazon eCS?
- As a Business Intelligence Engineer at Amazon eCS, you'll be responsible for defining, developing, and maintaining key business and operational metrics. This includes analyzing historical data to identify trends, collaborating with software development teams to implement analytics systems, identifying data needs, and driving data quality improvement projects. You'll also be involved in data mining and manipulating data from various sources to support strategic business decisions.
- What technical skills are essential for this Business Intelligence Engineer role at Amazon?
- Essential technical skills for this role include 3+ years of experience analyzing and interpreting data with technologies like Redshift, Oracle, and NoSQL. Proficiency in data visualization tools such as Tableau or Quicksight, experience with data modeling, warehousing, and building ETL pipelines are also crucial. Additionally, experience with statistical analysis packages (R, SAS, Matlab) and strong SQL and Python scripting skills for data processing are required.
- What are the preferred qualifications for a Business Intelligence Engineer at Amazon?
- Preferred qualifications include experience with AWS solutions like EC2, DynamoDB, S3, and Redshift. Further experience in data mining, ETL, and working with large-scale, complex datasets in a business environment is highly beneficial for this Business Intelligence Engineer position.
- What kind of educational background is expected for this Business Intelligence Engineer position at Amazon?
- A Bachelor's degree in a quantitative field such as BI, finance, engineering, statistics, computer science, or mathematics is required. Equivalent quantitative experience may also be considered.
- How does Amazon support employees with disabilities during the hiring process for a Business Intelligence Engineer role?
- Amazon is committed to an inclusive culture and provides workplace accommodations for individuals with disabilities during the application, hiring, and onboarding processes. You can find more information and resources by visiting https://amazon.jobs/content/en/how-we-hire/accommodations.