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Posted: 20 Nov 2020 Closes: 20 Dec 2020
LU, Luxembourg Competitive
Permanent & Full-time 1331986174


We are looking for a passionate, results-oriented and inventive Business Intelligence Engineer to start a new program with strategic significance and high exposure.

The ideal candidate has experience working with large volumes of data, enjoys the challenge of complex business contexts, and is adept, works backwards from customers requirements, with simple yet effective solutions, is a self-starter, comfortable with ambiguity and enjoys working in a fast-paced and global team.

This role requires a strong ability to both Dive Deep and Invent and Simplify, you will leverage your deep technical expertise, strong problem-solving skills and excellent leadership skills to help build the global data team and establish the foundational data infrastructure.

Key Tasks Include:
· Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams.
· Identify, develop, manage, and execute queries across multiple data sets to uncover areas of opportunity and present written business recommendations
· Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.
· Collaborate with product, technical, and operational leaders to gather data and metrics requirements.
· Retrieve and analyze data using a broad set of Amazon's data technologies and resources, knowing how, when, and which to use.
· Write high-quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, Oracle, and Quicksight skillsets).
· Manage and execute entire projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs.
· Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions.


· Bachelor Degree
· High levels of integrity and discretion in handling confidential information
· 6+ years of experience as a Business/Financial Analyst, BI Engineer or Systems Analyst preferably in an internet-based company with large, complex data sources
· Proficient in SQL (e.g. PostgreSQL)
· At least 1 year of hands-on experience working with a scripting language (e.g. Python/R)
· Experience in data visualization platforms (e.g. Tableau, PowerBI, Quicksight)
· 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
· Demonstrated ability to work effectively with Data Engineers and BI Engineers to mine the right data sources efficiently and accurately
· Strong verbal and written communications skills at an executive level that enable you to explain complex insights with clarity and precision
· Good sense of humour


· 6+ 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 with AWS technologies including Redshift, Lambda, S3, EC2, and/or EMR
· Master's degree, MBA or equivalent experience in Computer Science, Information Systems, or related business field.
· Track record of strong interpersonal and communication (verbal and written) skills. Must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into actionable analyses and contribute to documents
· Experience developing insights across various areas of customer-related data: financial, product, and marketing
· Experience in database management to support limited clusters for the organization
· A good understanding of building ML models, having build models is a +


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