ATSPL
Facilities, Maintenance, Real Estate, Business Intel Engineer, fulfillment ops
BusinessIntelligenceEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer at ATSPL. Skills: Business Intelligence, Data Analysis, SQL Scripting, Data Visualization. Partner with data business leaders and program stakeholders. Ensure key decision data is accurate, automated, and”
What You'll Achieve.
Drive decision-making; Enable teams to work smarter; Deliver results; Impact organizational strategic decisions and priorities; Meet business needs; Advance data-driven decision-making
Industry & Context.
Analyze operational data; Identify trends; Deliver actionable insights; Translate complex data; Problem solving
What They're Looking For.
Must Have
Bachelor's degree in Statistics, Computer Science, Computer Engineering, Information Management/Systems, Business Analytics or other related discipline, Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc., Experience with data visualization using Tableau, Quicksight, or similar tools, Experience building and maintaining basic data artifacts (e. g. , ETL, data models, queries)
Nice to Have
Master's degree in Statistics, Computer Science, Computer Engineering, Information Management/Systems, Business Analytics or other related discipline, 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience, Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift, Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
What You'll Do.
Partner with data business leaders and program stakeholders
Ensure key decision data is accurate
and manage quantitative business data
Create meaningful reports
Drive metrics discussions
Recommend improvements
Lead the development of metrics
Develop operational planning
Manage competing priorities
Provide guidance on business metrics
Produce regular reports and analysis
Uncover improvement opportunities
Conduct root cause analysis
Identify underlying process
or data-related issues
Implement improvements
Establish new measures
Advance data-driven decision-making
Develop and implement KPIs
Develop automated reporting solutions
Develop process improvements
Manage and execute data related project components
Gather and manipulate data
Synthesize and model data
Communicate insights and recommendations
How You'll Work.
Team & Collaboration
Engage with senior leaders; Engage with Mile Partners; Work with customers and stakeholder groups
Communication Scope
Data-driven narratives; Communicate insights; Communicate recommendations
Process & Methodology
Own work end-to-end, Communicate project roadmaps, Communicate prioritization, Communicate release notes
Full Job Description
Amazon's Reliability, Maintenance & Engineering (RME) team ensures that our global fulfillment and operations networks run safely, efficiently, and at peak performance. We are hiring a Business Intelligence Engineer (BIE) to join the INRME Central team as the go-to source of business intelligence for Operations. You will analyze operational data, identify trends, and deliver actionable insights that drive decision-making. This role requires a bias for action, you will move quickly to translate complex data into clear recommendations that enable our teams to work smarter and deliver results. Strong analytical skills, attention to detail, and the ability to influence stakeholders through data-driven narratives are essential for success in this role. You will engage regularly with senior leaders and Mile Partners to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. You will own your work end-to-end, operate autonomously to create high-quality products for the customer, and communicate project roadmaps, prioritization, and release notes of new products with customers and stakeholder groups including leadership. Key job responsibilities - Partner with data business leaders and program stakeholders to ensure key decision data is accurate, automated, and delivered in a timely fashion - Collect, analyze, and manage quantitative business data to create meaningful reports, drive metrics discussions, and recommend improvements - Lead the development of weekly, monthly, and quarterly metrics alongside operational planning, forecasting, and reporting models that enable stakeholders to make effective decisions - Manage competing priorities while providing level-headed guidance on business metrics, even during une
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