Process Improvement Specialist, Reporting & Analytics , EU Operations Sustainability - Luxembourg | Amazon Job

Job Description

EU Operations Sustainability drives the decarbonization of Amazon's operational footprint across Europe, focusing on reducing environmental impact from transportation, buildings, and energy consumption. The team develops and executes strategies spanning First Mile, Middle Mile, and Last Mile logistics — including energy efficiency, renewable energy, building material decarbonization and climate resiliency and adaptation, at fulfillment centers, sort centres and delivery stations. Working cross-functionally with EU Operations, WW Sustainability, engineering and procurement, the EU Ops Sustainability team translates Amazon's Climate Pledge commitments into actionable programs with measurable targets. The team navigates also the evolving European regulatory landscape to ensure compliance while identifying opportunities to accelerate decarbonization ahead of mandated timelines.

EU Ops Sustainability is looking for an analytical, technically hands-on, and self-directed Process Improvement Specialist with a strong business-intelligence skillset to own data reporting development and analytics on carbon, energy, and beyond-carbon plans on behalf of the entire EU Ops Sustainability organization. You will own the data extracts and reporting yourself — turning complex sustainability data across First Mile, Middle Mile, and Last Mile into a reliable, auditable single source of truth that leaders use to make decisions.

This role supports our Climate Pledge goal of net zero carbon by 2040 by establishing rigorous, repeatable planning cycles and automated reporting mechanisms across carbon abatement, carbon intensity, energy, and beyond-carbon programs (e.g., waste, water, and circularity). To be successful, you need a passion for sustainability and data, the ability to write queries against large and imperfect datasets, model the data, and build the reporting layer end to end, and the judgment to know which numbers matter. The successful candidate must be fluent in SQL and ETL, comfortable building and automating dashboards, and able to apply systems thinking to complex, fast-moving problems — increasingly by leveraging AI/GenAI tooling to accelerate data extraction, analysis, and reporting.

You must be comfortable working independently in an ambiguous, high-pressure environment, identifying sources of uncertainty, and finding — or engineering — the data to fill the gaps where needed. You are not only able to develop and drive high-level planning strategy, but can also roll up your sleeves, dig into the data, write the queries, and ship the dashboard — consolidating inputs from stakeholders across business units, resolving data-quality issues programmatically, and communicating results clearly to all levels of leadership.

Key job responsibilities
This role is inherently cross-functional—you will work closely, but not limited to, with WW Ops Sustainability, Finance, Business Intelligence, Network Planning, Core Operations, and the EU Ops Sustainability business-unit leads to gather inputs and bring programs to the market. Responsibilities include (but are not limited to):
· Own the data extracts, queries, and ETL pipelines that feed EU Ops Sustainability reporting — sourcing from multiple systems, writing and optimizing SQL, and automating recurring pulls so reporting runs reliably without manual intervention.
· Design, build, and maintain the carbon, energy, and beyond-carbon dashboards and reporting suite — owning the data model, metrics layer, and visualizations that distill complex data into actionable insights across First Mile, Middle Mile,
· Serve as the single source of truth for analysis and dashboard you create, owning the methodology that underpin regional reporting.
· Develop and implement key performance indicators (KPIs) for the portfolio of sustainability programs, providing visibility into milestones and performance across projects.
· Establish the operating rhythm—lead programmatic reviews (MBR/QBR) and prepare variance commentary and metrics for leadership reporting, communicating status, risks, and course-correction strategies to senior leadership.
· Drive automation and GenAI adoption across the reporting stack — build GenAI-powered variance commentary, automated data-quality checks, and self-service query tooling to eliminate manual, repetitive reconciliation work and shorten the reporting cycle.
· Work with program managers and business leaders to communicate the impact of critical business initiatives, aligning the EU reporting approach with WW Ops Sustainability guidance and standards.

A day in the life
Your day starts with a check of automated data-submission and pipeline-health status and the latest regional carbon, energy, and beyond-carbon snapshots—flagging late, missing, or anomalous data before it becomes a downstream reporting issue. You join a call with a business-unit or BI counterpart to align on a driver discrepancy or walk through a data request, always leading with data lineage and methodology clarity. Back at your desk, you write and optimize SQL, refine the data model, update dashboards, and validate calculations, digging into variances that don't tie to plan — often prompting GenAI tooling to draft variance commentary or accelerate a data pull. Depending on the point in the cycle, your afternoon might involve delivering a planning-cycle milestone (OP1/3YF, OP2, Glidepath), pulling together inputs for a leadership review, or scoping and building an automation that removes manual reconciliation work. You navigate seamlessly between strategy and execution, influencing internal teams and stakeholders at all levels while keeping the region's single source of truth accurate and on time.

About the team
EU Ops Sustainability's vision is to accelerate decarbonization across First Mile, Middle Mile, and Last Mile to ensure we achieve Net Zero Carbon by 2040. To drive this change, we integrate sustainability into decision-making for Amazon's operations and supply chain. The EU strategy is aligned with the guidance provided by the WW Operations Sustainability team, and this role is central to making that strategy measurable and accountable.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture.

Basic Qualifications:

- Bachelor's degree or equivalent qualification in Math, Engineering, Science or Business
- Experience in business analytics with demonstrated proficiency in quantitative analysis using SQL, databases, and Excel in a business environment
- Experience using Excel and querying relational databases with SQL (or other query language), and working with large complex data sets to design models and scenarios
- Experience defining program requirements and using data and metrics to determine improvements

Preferred Qualifications:

- Bachelor's degree or equivalent qualification in quantitative disciplines such as Computer Science, Engineering and Economics

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