Business Intelligence Engineer II, Ops Finance - S&A
London, England, GBR
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...Key job responsibilities
The ideal candidate is a seasoned data professional with strong bias for action, data modeling, ETL, SQL and scripting skills. In this role you will help identify complex business problems, identify opportunities and implement solutions to improve Operations Finance facing systems, processes and tools. The successful candidate will be a self-starter, quick learner, comfortable with ambiguity, result oriented with strong attention to detail, insists on high standards, shows ability in decision making and ready to adapt in a fast paced business changing circumstances. You will be responsible for setting data architecture design, data modeling standards, building complex data pipelines, building and maintaining data lake, identify complex/abstract problems and building products in NAWS tech-stack, CI/CD pipeline. Further, you will help automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate these insights in real time to the business teams. Successful members of this team collaborate effectively with business customers, product managers, cross-functional data management teams to solve problems, and implement new solutions.
We are open to hiring candidates to work out of one of the following locations:
London, GBR
Basic Qualifications
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- 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 SQL
- Experience in the data/BI space
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
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Business Intelligence CI/CD Data governance Data management Data Mining Data pipelines Data visualization Data warehouse DynamoDB EC2 Engineering ETL Finance Matlab NoSQL Oracle Pipelines Privacy Python QuickSight R Redshift SAS Security SQL Statistics Tableau
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