Business Intel Engineer, WW Ops Finance - S&A (m/f)

Business Intel Engineer, WW Ops Finance - S&A

Job ID: 2784319 / Amazon EU Sarl

DESCRIPTION

As a Business Intelligence Engineer, you will be in charge of building end-to-end solutions from raw inputs to reporting layer, to help Worldwide Operations Finance organization drive better, data-driven decisions.

As Amazon Operations network continues to grow and evolve, driving efficient decisions at scale becomes challenging, and requires combination of technical knowledge, engineering best practices, strong analytical skills, and business acumen.

To be successful in the role, you will need to be able to translate business requirements into technical specifications, implement them in practice and take ownership of the final solution. You will balance short-term goals and long-term optimization: delivering results to customers, while minimizing technical debt.

Key job responsibilities

- Owning the design, development and maintenance of data pipelines and connected reports to drive business decisions.

- Ensuring data quality and accuracy.

- Documenting your design and code solutions, creating customer-facing documentation as well as standard operating procedures.

- Reviewing code and design of other engineers.

- Collaborating with different technical and business teams to ensure that solutions are implemented in consistent manner, follow best practices, and can be re-used.

A day in the life

You will be working on creating standard reports, that will be used by diverse population of finance people - from ordinary analysts to senior leadership. Quality and integrity of these reports will be affecting tactical and long-term decisions in Operations Finance.

You dive deep to understand root causes of business challenges, and simplify complex problems in elegant reporting solutions for customers.

About the team

Worldwide Operations Finance Standardization and Automation team supports financial reporting for Worldwide Operations, i.e. supervises the entire journey of items going through Amazon network from vendors to customers. We help optimize components of our network and interactions between them to serve customers faster while monitoring operating expenses.

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.