Job description

  • Multiple years of experience in the data analytics or business intelligence space, ideally with a scope including financial metrics
  • Undergraduate degree in Math, Computer Science, Engineering, Data Engineering, Data Science or a related field
  • Proven track record in data mining using SQL, data warehouse as well as Excel
  • Coding or statistical modelling proficiency in at least one modern programming language (Python, Ruby, Java, R, SAS etc.)
  • Proficient in use of ERPs and BI tools (Oracle, Cognos, Tableau, QuickSight)
  • Project experience in process improvement and automation, for example with VBA
  • Interest in financial planning and analysis and business modelling
  • Outstanding interpersonal skills and excellent English

Job summary
Ring is looking for a Data Engineer to support our Ring team. As a Data Engineer, you will dive deep into data analytics to design prediction models for units, revenue and contribution, automate processes, make insights accessible through BI tools and drive decision making based on data. As Business Intelligence Engineer you know how to leverage machine learning and statistical techniques to enhance a divers system environment and complex existing Excel models. To be successful in this role you are not afraid to take ownership an break things, have excellent analytical abilities, deep knowledge of business intelligence solutions, an affinity to technology and get energy from working in cross functional international teams. Become part of Ring’s growth story and work with stakeholders in finance, sales and GTM around the globe.



Key job responsibilities
  • Evolve three year unit forecasting framework for international markets.
  • Develop a prediction model for a weekly unit sales, revenue and contribution margin forecast for Europe.
  • Contribute to quarterly forecasting cycles and annual budgets with sensitivity analysis and scenario planning.
  • Support GTM and sales teams by continuously improving recurring consolidation and reporting processes via re-architecture, bridge solution for data translation or integrated automated solutions.
  • Adopt best practices in using Tableau and Cognos to visualize insights and for self-service reporting.
  • Apply analytics and data mining techniques to solve complex problems, drive business decisions and identify major gaps and opportunities.

  • Work experience in consumer electronics, eCommerce or startups
  • Self-motivated, cross functional team player which can assume both strategic and tactical perspectives

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.

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