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Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Amazon Business Intelligence Engineer, WHS Data in Luxembourg, Luxembourg

Description

At Amazon, the Leadership Principle “Strive to be Earth’s Best Employer” challenges us to create “a safer, more productive, higher performing, more diverse, and more just work environment,” and reinforces that nothing is more important than the safety and well-being of our teams. At Workplace Health and Safety (WHS) we strive to do just this. We work tirelessly to ensure we have the appropriate strategy, technology, and attitude to be successful. We also understand that people are at the center of safety and look to invest in talent that shares in our passion for making our employees and partners lives better.

The WHS Data team is hiring a Business Intelligence Engineer (BIE). The Data team spans the Business Intelligence (BI) and Data Engineering (DE) functional areas, and is responsible with providing all reporting solutions required by the WHS Organization to drive workplace safety and regulatory compliance worldwide. This BIE role will primarily support the data and reporting needs for the Business Unit (BU) BI team in the WHS Organization. This role regularly requires close engagement with senior leaders and principal PMs to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. The role will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. The role is required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups including leadership.

Key job responsibilities

-Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems

-Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership

-Identify opportunities and key criteria to drive analytical reporting and business strategy

-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting

-Simplify and automate reporting, audits, and other data-driven activities

-Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights

-Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation

-Learn new technology and techniques to meaningfully support product and process innovation

Basic Qualifications

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

  • 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

  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Preferred Qualifications

  • 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

  • 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

  • Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

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 a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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