WW Senior Business Analyst - Scrum Master
Amazon
Luxembourg, LU
il y a 5j

Imagine being able to build the Earth’s most customer-centric company in an organization that delivers a smile to millions of people every single day and on a team that powers the recruitment of the most talented and motivated employees in the world through technological innovations.

This is the reality of being part of the WW Operation’s Recruiting Business Intelligence team. We need leaders who are owners, have a bias for action, and possess a deep desire to build and make the previously impossible possible. Is that you?

We are looking for a talented Senior Business Analyst based in our Luxembourg corporate office to partner closely with executive recruiting leaders as a strategic data advisor, managing the growing data and reporting requirements for a large-scale, enterprise recruiting team.

You will be responsible for designing, executing, maintaining, and improving a recruiting business-aligned reporting portfolio, enabling decision making at scale.

You will work closely with multiple stakeholders in different geographies, different business units, and different roles.

You will also team with talented Analysts, Business Intelligence Engineers, Data Engineers and Software Development Engineers influence and participate in the development of world-class analytical products that operate on Amazon worldwide scale and solve some of Amazon’s most difficult challenges.

Our tools and reporting solutions utilize the latest technology and are empowered by Amazon AWS cloud solutions. You will be part of this exiting journey!

  • Masters with two years of experience or a Bachelors with five years of experience in the field of statistics, computer science, engineering, mathematics, or a related field.
  • Experience in SQL
  • Experience in visualization software (Tableau, AWS QuickSight).
  • Track record of diving into data to discover hidden patterns and of conducting error / deviation analysis.
  • Excellent written and verbal communication skills for both technical and non-technical audiences.
  • Proficiency with quantitative analysis and databases.
  • Proven records in managing customers expectations in the field of analytics.
  • Knowledge of and experience working with complex databases.
  • Knowledge of wide range of APIs, programming tools, and open source libraries.
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