Business Analyst, WW Consumer DEI Data and Analytics
Luxembourg, LUX
il y a 5j

Job summary

The WWC DEI team’s mission is to raise the bar on access and engagement for members of under-represented and marginalized communities around the globe.

Our purpose is to champion an inclusive and equitable experience for all employees and candidates across the Amazon ecosystem, to empower us to become Earth's most customer-centric company, Earth's best employer, and Earth's safest place to work.

We value diversity as a competitive differentiator, enabling us to authentically engage with and innovate on behalf of customers.

WWC DEI team is seeking a Business Analyst to join the team. This role will provide data and analytics to Global DEI Business Partners in supporting their businesses.

The role links with other data teams to provide analytics using confidential data that drives inclusion and equity in the organization.

The Business Analyst will support multi-layered research and program implementation to drive deep learning, process improvements, and strategic recommendations to global leadership.

Are you passionate about data? Are you a tinkerer by trade?

Do you enjoy questioning the status quo?

Do complex and difficult challenges excite you?

If yes, this may be the team for you. The Business Analyst role will be responsible for creating the proper data modeling necessary to facilitate reporting and analytics, acquiring new data sources, and building out comprehensive data visualizations for key stakeholders.

This role is truly a jack of all trades; it will be part process improvement, part analytics, part data modeling, and part strategic design.

If you can seamlessly move across these various skillsets then you’ll thrive in this role.

This role can be based in London, Madrid, Barcelona, Munich, Berlin.

Key job responsibilities

  • Provide Analytics to DEI BP to support global business partners in implementing DEI into all Amazon processes.
  • Turn over rocks to uncover and drive unanticipated outcomes. Analyze key business metrics to drive business insight.
  • Acquire various data sources to enable holistic analysis at a global level.
  • Build various data visualizations to tell the story and let the data speak for itself. Provide metrics / decks for internal use and for business partners.
  • Perform and present business analysis in easily digestible standard reports. Design queries, compile data, and generate reports in QuickSight, and Excel.
  • Excellent writing skills, to create artifacts easily digestible by business partners.
  • Partner with our Research and Business Intelligence team to provide business insights using data and translate business problems into requirements for analysis.
  • Revolutionize the stakeholder experience within our reports. Help us move from merely "reporting the news" to automating the action plan.
  • Have a broad understanding of the data available in both traditional and non-traditional sources, allowing access to new levels of analysis
  • Run basic regression methods (e.g., linear, logistic, basic time series) and identify opportunities to leverage more advanced modeling methods

  • Bachelor degree in Computer Science, Statistics, Finance, Mathematics, or related field.
  • Significant years’ work experience in a Business Analyst role and / or Statistics role.
  • Strong knowledge of coding or Query languages with proficiency in SQL.
  • 2+ years’ experience with the usage of third-party tools like Tableau, Excel, and / or other data visualization tools like QuickSight.

  • Demonstrated ability to analyze key business metrics to drive business insight.
  • Track record of managing multiple projects simultaneously in a fast-paced environment.
  • Demonstrated experience of engaging customer-facing programs.
  • Ability to work cross functionally and strong negotiation skills.
  • Develops strong relationships across teams.
  • Highly organized individual who also wants to have fun building new products and services across geographies.
  • Ability to self-direct, multitask, and prioritize a constantly evolving workload.
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