OIS CXI Analytics team is looking for a motivated Business Intelligence Engineer with strong technical data evaluation-assessment background to join our team as BIE II. In this role, you will be accountable for designing and supporting best-in-class business data study solutions to help stakeholders make impactful business choices. You will own the design, development of data solutions to support OIS customer experience product suites. You will continue to raise the bar for creating scalable, efficient and automated processes for large-scale data evaluation.
Position requires excellent statistical, data-study abilities with deep knowledge of business intelligence solutions, data engineering and basic knowledge of Data Science.
Successful candidate will be a self-starter , comfortable with ambiguity, capable of working in a fast-paced environment, with strong attention to detail. They are able to partner with customers to transform business problems into technical/BIE requirements and deliverables. Your cross functional collaboration inspires your peers and stakeholders to produce the best BIE/Analytics experience.
Key job responsibilities
- Partner with OIS CXI leaders and proactively define data evaluation and assessment needs to BI designs, use Agentic AI
- Continuously review and update 'visualization standard' for simplified inspection experience
- Design, develop, test solutions to ensure data management processes, visualization outputs are accurately representing the business insights
- Develop best practice to reduce coding effort by reuse where applicable; replace complex data handling steps with innovative design and simpler tools/utilities
- Drive peers and stakeholders for optimal assessment solutions and insist on highest standards when dealing with data, business rationality usage
- Work backwards from KPIs used for business selections and design inspection process to automate with simple solutions
- Use
AWS S3,
Redshift,
Athena, Quicksight,
Tableau to produce reliable BIE solutions.
- Enable seamless integration between BIE solutions and Strategic Planning, Excel models
- Working knowledge of
Regression , Classification algorithms
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
- 3+ years of analyzing and interpreting data with
Redshift,
Oracle, NoSQL etc. experience
- 1+ years of SQL,
ETL or
Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of using SQL,
ETL (Extract, Transform, Load), or
Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- 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 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 99,500.00 - 160,000.00 USD annually