Business Intelligence Analyst

Job description

DESCRIPTION

European Inventory Management (EIM) Product team is looking for talented Business Intelligence Engineer/Business Analyst who thrives in a highly collaborative, creative, ambiguous, analytical, and fast-paced environment.

The candidate should have a proven ability to develop, enhance, automate, and manage analytical models using strong quantitative skills. The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideation and working from concept through to execution. This role will also build tools and support structures needed to analyze data, dive deep into data to determine root cause of forecast/buying systems errors & changes, and present findings to business partners to drive improvements.

Excellent written and verbal communication skills are a necessity. Successful candidates should excel at diving into data in order to analyze root causes and implement simple, long term solutions. The ideal candidate is a natural self-starter who is comfortable working within a cross functional environment, supporting multiple stakeholders and initiatives. You will have a true hands-on approach, strong analytic skills, including the ability to gain true insights from data, and be an effective communicator.You will be comfortable to challenge internal customers’ decisions by using appropriate and useful data.

The role is open in Amazon EU office in Luxembourg.

PREFERRED QUALIFICATIONS

· 5+ years of experience as a Business/Financial Analyst, BI Engineer or Systems Analyst preferably in an internet-based company with large, complex data sources
· Experience working with business, technical and operations teams with deep experience on existing systems and data sources
· Proven ability to manage ambiguity and drive ambiguous projects
· Proven ability and interest in driving product and technical changes based on data.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree required. Finance, Accounting, Business, Engineering, or any similar discipline with a clear analytical focus,
· 4+ years of work experience with at least 2+ years of experience working in a analytical role with proven experience of providing recommendations for strategic decision-making.
· Exposure to data mining tools like SQL ,SAS, SPSS,Excel etc. Experienced with large-scale data mining and reporting tools (i.e. SQL, MS Access, Essbase, Cognos)
· Ability to take complex business problems and translate them into clear and accurate results
· Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions, develop business cases, and complete root cause analyses
· Ability to prioritize multiple concurrent projects while still delivering timely and accurate results
· Strong verbal and written communications skills at an executive level that enable you to explain complex insights with clarity and precision.
· Must be detail-oriented with a demonstrated ability to self-motivate and follow through on issues