Business Intelligence Engineer, Supply Chain

ADS Turkey Veritbani Hizmetleri Limited Sirketi

Business Intelligence Engineer, Supply Chain

DESCRIPTION

Have you ever ordered a product on Amazon and wondered how it got delivered to you so fast? In the Amazon EU Supply Chain team, we are passionate to drive innovation on behalf of our customers to improve product availability and speed while reducing costs and carbon emissions. This role will give you a unique view into Amazon systems, processes and operations, allowing you to collaborate with planning, operations and technical teams. If you are an advocate to understand complexity in detail to drive improvements at scale, with a proven track record of analyzing and diving deep in complex data to generate insights and business recommendations, we’d like to talk to you.

Key job responsibilities
- Design and own the right set of metrics to evaluate, audit and improve efficiency of placement processes and systems
- Recommend improvements to the placement strategy using modelling and large datasets. You'll guide planning teams and other relevant stakeholders with regards to the mix of products to place in Amazon buildings, maximizing selection and reducing distance to customers
- Partner with technology teams to define key priorities to accommodate growing business needs and implement your recommendation in production through smart configurations in Amazon systems
- Develop the analytics required to visualize opportunities and measure success
- Research, develop, document and present new opportunities to all levels of Supply Chain, Finance, FBA and Retail leadership

We are open to hiring candidates to work out of one of the following locations:

Istanbul, TUR

BASIC QUALIFICATIONS

- Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Ability to translate complex technical problems in simple terms to business stakeholders, enabling and facilitating decision making across all leadership levels

PREFERRED QUALIFICATIONS

- Master's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
- Experience of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with scripting language (e.g., Python, Java, or R)