Ph3Overview /h3pManaging daily reporting and deep-dives of critical OHL Opex workstreams. Working in a dynamic environment, you will be responsible for automating dashboards, monitoring key success metrics, managing WBR reports, identifying problem areas and business challenges and collaboratively shaping solutions with OHL OpEx teams to help optimize on the platform. The successful candidate has a passion for extracting actionable insights from data and will innovate to quickly become a subject matter expert to assess business performance across different OHL Opex areas. The candidate should have significant experience working with automation, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner using data across various data marts, aligning focus on Amazon’s strategic needs. Proficiency in automation tools (e.g., VBA) and coordinating with central stakeholders to maintain data and queries for right reporting is required. Minimum 12 months experience as a BA is needed for this role. /p h3Key Responsibilities /h3 ul liUnderstanding drivers, impacts, and key influences in the BizOps Domain. /li liPartnering with the business team to create key performance indicators and new methodologies for measurement. /li liTranslating data into actionable insights for the stakeholders. /li liAutomate reporting for weekly business metrics, identify areas of opportunity to automate and scale ad-hoc analyses. /li liPerform complex data analysis (root cause deep dives, correlations, regressions, simulations, and optimization) to identify opportunities to reduce process gaps. /li liBuild infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions. /li /ul h3Basic Qualifications /h3 ul li1+ years of data analytics or automation experience /li li1+ years of capacity planning, operations planning, business analysis or similar experience /li liBachelor’s degree /li liKnowledge of data pipelining and extraction using SQL /li liKnowledge of SQL and Excel at a moderate or advanced level /li liExperience with data mining tools like SQL, SAS, SPSS, or similar /li /ul h3Preferred Qualifications /h3 ul liBachelor’s degree in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field /li /ul pOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. /p pBased on your recent activity, you may be interested in: /p pbLocation: /b ES, Community of Madrid, Madrid /p pbPosted: /b December 5, 2025 (Updated about 2 months ago) /p pbPosted: /b October 31, 2025 (Updated 5 days ago) /p pbPosted: /b January 30, 2026 (Updated 2 days ago) /p pbPosted: /b October 28, 2025 (Updated 3 months ago) /p pbPosted: /b November 25, 2025 (Updated about 1 month ago) /p pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. /p /p #J-18808-Ljbffr