{"id":3508441,"url":"https://alion.io/job/amazon-business-intelligence-engineer-iii-amazon-now","title":"Business Intelligence Engineer III, Amazon Now","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":4548,"ghost_share":0,"stale_share":0.885,"repost_share":0.003,"time_to_fill_p50_days":29,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Design of Experiments","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-29T00:00:00Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-08T10:21:40Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"We are looking for a Business Intelligence Engineer to join the Customer Experience (CX) team at Amazon Now. The BIE will own the end-to-end data ecosystem for CX - building scalable ETL pipelines, automated dashboards, and self-service reporting frameworks that track key metrics across the customer journey including conversion funnels, delivery experience, retention, and NPS. The role involves partnering cross-functionally with Product, UX, Engineering, and Operations teams to define success metrics for feature launches, conduct deep-dive analyses on customer behavior and journey pain points, support A/B experimentation, and build anomaly detection to proactively flag CX degradation.\nAbout the team\nOur Quick Commerce team is passionate about solving complex location-based challenges that directly impact millions of customers. We work at the intersection of technology and operations, using advanced geo-spatial solutions to transform the way customers receive their deliveries. Our team combines expertise in product management, engineering, and operations to build innovative solutions that scale globally.\nBasic qualifications\n- 10+ years of professional or military experience\n- 5+ years of SQL experience\n- Experience programming to extract, transform and clean large (multi-TB) data sets\n- Experience with theory and practice of design of experiments and statistical analysis of results\n- Experience with AWS technologies\n- Experience in scripting for automation (e.g. Python) and advanced SQL skills.\n- Experience with theory and practice of information retrieval, data science, machine learning and data mining\nPreferred qualifications\n- Experience working directly with business stakeholders to translate between data and business needs\n- Experience managing, analyzing and communicating results to senior leadership\nOur 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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