Senior Manager - Analytics
Amazon
Luxembourg, LU
il y a 1j

DESCRIPTION

At Amazon we believe that every day is still day one. A day to take the first step and a day to look forward to new challenges.

And, today is that day for you. It's your day to be part of something great. A day to make your ideas come to life and your day to join a company that redefines itself every day.

A day to make history. That's the energy and passion behind Amazon.

EU Ops Excellence department is looking for a Senior Manager to lead its Analytics team. That department is part of Central Ops in EU supporting Fulfillment Centers on several topics : Delivery accuracy, Concessions, Packaging, and Sustainability.

Analytics team is providing resources and expertise for all data related reports (dashboard, scorecards ), analysis (statistical approach), and advanced Machine Learning product and tool developed.

On top of its internal customers, Analytics team is supporting more widely its experience and skills all across the org, partnering with a wide range of depratment within the company on several projects.

The team is now recognized for its expertise in ML and advanced with several of its development for EU now rolled out in other regions some of these tools are becoming worldwide standard.

Reporting to the Director of Ops Excellence, this role will be responsible for developing the data-driven decision process from historical data and ML based predictive analysis and maintaining accurate and reliabel data infrastructure, driving the Ops Integration data culture.

You will work across the entire business, and be exposed to a wide range of functions from Operations, Finance, Technology, Change management.

The successful candidate will be able to work with minimal instruction and oversight, manage multiple tasks and projects simultaneously, maintain relationships with senior leaders, and own deliverables end-to-end.

Critical to the success of this role is your ability to work with big data, develop insightful analysis, work effectively as part of a cross-functional team, think big and strategically, communicate findings in a clear and compelling way.

KEY RESPONSIBILITIES

Contribute to Customer satisfaction through analytical and strategic guidance, reporting, and data visualization

  • Conduct data analysis to solve business problems through the use of statistical and / or machine learning models
  • Deliver impactful analysis based on robust financial and statistical analysis
  • Enable accurate and robust reporting across key business metrics
  • Develop an in-depth knowledge of all relevant data sources, business intelligence technologies and analytical tools
  • Work closely with Ops Integration stakeholders

  • Partner with business leaders to understand their challenges and deliver timely and relevant insights to enable meaningful decisions.
  • Advise and fulfil ad-hoc requests for data and analysis to support senior management
  • Establish and maintain senior management scorecards
  • Collaborate with the internal and global data engineering teams on the design, development and maintenance of data infrastructure including data models
  • Communicate effectively

  • Initiate deep dives on key operational issues; deliver data-driven recommendations to improve operational performance and proactively communicate these
  • Translate complex problems and distil them into simplified, relevant outputs that can be quickly understood and actioned
  • Develop compelling presentations and documents and communicate them with impact
  • Demonstrate leadership, teamwork, and accountability

  • Lead and develop a team of analyst, data scientists, and software developer engineers.
  • Partner effectively by developing working relationships with teams across the business
  • Cultivate a culture of continuous improvement with a focus on providing solutions and delivering results
  • Ensure the accuracy and relevance of the team’s deliverables
  • BASIC QUALIFICATIONS

  • Extensive relevant experience in Strategic Analytics, Business Intelligence, or Consulting in a digital environment
  • Extensive people management experience, leading and developing analytics teams
  • Experience with analytical tools such as SQL, relational databases (Redshift, RDS, SQL Server, MySQL, etc.)
  • Experience in programs developing advanced Machine learning tools
  • PREFERRED QUALIFICATIONS

  • Advanced degree (Masters, PhD, MBA) in Mathematics, Computer Science, Statistics, Economics, Business or a related field
  • Experience in programming language (Python, Java, R, etc.) for data gathering, data cleaning and statistical analysis
  • Advanced knowledge of big data analytics technologies, including machine learning and aptitude to learn and drive new tools quickly
  • Strong and effective written and oral communication to clearly convey data findings with technical and non-technical stakeholders across multiple business units including executive level
  • Experience running projects with diverse stakeholders and senior leaders
  • Ability to influence peers and stakeholders at all level
  • Comfortable with ambiguity and able to manage multiple priorities
  • Track record of delivering results
  • Fluent in English
  • Background in internet industries and / or ecommerce analytics
  • Ability to deliver initiatives from conception through completion
  • Passion for developing best in class customer delivery experience
  • Additional fluency in other EU languages (i.e. German / French / / Italian / Spanish)
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