Position Details

Type Full-Time

Experience mid

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

Amazon Leo is seeking a Business Intelligence Engineer to build analytics for the Leo Global Customer Operations team. The role focuses on data infrastructure, analytics products, self-service reporting, KPI measurement, and insights that improve customer experience and efficiency.

Key Responsibilities

Build analytics across Customer Service and Field Operations
Own data gathering, manipulation, synthesis, modeling, and insight communication
Develop key metrics and KPIs for performance measurement
Build self-service reporting platforms and automated data analysis
Define analytical approaches and metrics strategy using statistical modeling

Technical Overview

Build and manage data infrastructure and analytical tools, write high quality queries for ongoing and ad-hoc requests, and use statistical modeling to measure KPIs. Develop metrics and performance indicators, automate large-scale data analysis, and deliver self-service reporting platforms for operational teams.

Ideal Candidate

The ideal candidate is a mid-level Business Intelligence Engineer who can build analytics and data infrastructure for customer service and field operations. They are strong in defining KPIs, writing high quality queries, developing self-service reporting platforms, and using statistical modeling to drive data-driven decisions.

Must-Have Skills

build analytics across Leo's global Customer Service and Field Operations organizationsbuild and manage data infrastructuredevelop and improve analytics productssimplify data accessunlock self-service insightscreate solutions to continuously measure KPIsunderstand and write high quality queriesdefine analytical approaches and metrics strategy

Required Skills

analyticsdata infrastructureanalytics productsself-service reporting platformsautomated processeslarge scale data analysishigh quality queriesKPIsperformance indicatorsstatistical modelingdata accesscontinuous improvement

Hard Skills

analytics across Customer Serviceanalytics across Field Operationsdata infrastructureanalytical toolsdata gatheringdata manipulationdata synthesisdata modelingproblem solvingdata-driven insightsdevelop key metricsperformance indicatorscontinuous improvementself-service reporting platformsautomated processeslarge scale data analysishigh quality queriesretrieving dataanalyzing dataKPIsstatistical modelingstatistical modeling for KPI measurementdata access

Soft Skills

data-driven decision makingstakeholder partnershipcommunication of insights and recommendationscuriositycross-functional collaborationproactive learningtrusted partner mindset

Industry & Role

Industry Aerospace

Job Function Design and deliver analytics and KPI measurement capabilities for Leo customer operations.

Role Subtype Data Engineer

Tech Domains Python, SQL / PostgreSQL

Clearance & Visa

Visa Sponsorship No

Keywords for Your Resume

Business Intelligence EngineerBusiness IntelligenceLeo Global Customer Operationsanalyticsdata infrastructureanalytics productsself-service reportingself-service insightsdata accessautomated processeslarge scale data analysisquerieshigh quality queriesdata gatheringdata manipulationdata synthesisdata modelingproblem solvingcommunication of insightsrecommendationsKPIsperformance indicatorsstatistical modelingdata-driven insightsCustomer ServiceField Operationscontinuous improvement

Deal Breakers

Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum

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Business Intelligence Engineer, Leo Global Customer Operations

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