ATSPL

Facilities, Maintenance, Real Estate, Business Intel Engineer, fulfillment ops

BusinessIntelligenceEngineer

₹15–25L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Facilities, Maintenance, Real Estate, Business Intel Engineer, fulfillment ops
Problems you'll solve

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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