Business Intelligence Engineer, AOP

Amazon; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Amazon in India is seeking a hands-on Business Intelligence Engineer to build scalable BI data processes and dashboards. You will own BI design, develop analytics solutions, and collaborate with various teams to provide decision-ready insights.

Strong data quality practices and scripting are essential as is the ability to manage multiple projects and meet tight timelines. The role emphasizes data-driven problem solving, improving customer experience, and delivering timely metrics across

Qualifications

• 2+ years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
• Experience with one or more analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).
• Experience with scripting language (e.g., Python, Java, or R).
• Knowledge of how to improve code quality and optimises BI processes (e.g. speed, cost, reliability).

Responsibilities

• Build scalable, efficient data processes to inform business decisions.
• Own the design, development, and maintenance of BI solutions and dashboards.
• Collaborate with teams to identify opportunities and provide analytics insights for decision making.
• Ensure data accuracy by validating data for new and existing tools.
• Lead end-to-end BI projects from data gathering to communication of insights.

Skills

Data analysis

Scripting (Python/Java/R)

BI concepts & statistics

Data quality & validation

Education

Master's degree

Tools

Redshift

Oracle

NoSQL

Tableau

PowerBI

QuickSight

MicroStrategy

Excel

Job description

Description

Analytics Operations & Programs team in Bangalore is looking for an innovative, hands‑on and customer‑obsessed Business Intelligence Engineer. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritise projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analysing data and liaising with relevant team(s) to plug it and analysing data and metrics and sharing update with the internal teams.

Description

Analytics Operations & Programs team in Bangalore is looking for an innovative, hands‑on and customer‑obsessed Business Intelligence Engineer. Candidate must be detail oriented, have superior verbal and written communication skills, strong organisational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritise projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analysing data and liaising with relevant team(s) to plug it and analysing data and metrics and sharing update with the internal teams.

Key job responsibilities

• Build scalable, efficient, and automated data processes to inform business decision making.
• Own the design, development, and maintenance of ongoing BI solutions, metrics, reports, etc. to drive key business decisions.
• Work with teams in the organisation to identify opportunities and build analytical solutions that provide them with decision making capabilities and insights.
• Ensure data accuracy by validating data for new and existing tools.
• Root cause analysis and uncovering core issues using data, then assisting to create new measures for the wider Amazon team
• Manage and execute entire projects from start to finish including project management, data gathering and manipulation, synthesis and modelling, problem solving, and communication of insights and recommendations.
• Collaborate with Product and Program management teams to design analytics frameworks that will support large‑scale data‑analysis and on‑ground corrective actions.
• Collaborate with Business Analysts, Data Engineers, Software Development Engineers, and business stakeholders to understand requirements, validate data quality, and ensure deliverables align with expectations.

A day in the life

• Solve ambiguous analyses with less well‑defined inputs and outputs; drive to the heart of the problem and identify root causes
• Have the capability to handle large data sets in analysis through the use of additional tools
• Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes
• Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing
• Identify and implement optimal communication mechanisms based on the data and the stakeholders involved
• Communicate complex analytical insights and business callouts effectively

About The Team

AOP (Analytics Operations and Programs) team is missioned to standardise BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across multiple geographies.

AOP is responsible to provide visibility on operations performance to improve network efficiency and defect reduction. The team has a diverse mix of engineers, Analysts and Scientists who champion customer obsession.

We enable operations to make data‑driven decisions through developing near real‑time dashboards, self‑serve dive‑deep capabilities and building advanced analytics capabilities.

We identify and implement data‑driven metric improvement programmes in collaboration (co‑owning) with Operations teams.

Basic Qualifications

• 2+ years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi‑squared)
• Experience with scripting language (e.g., Python, Java, or R)
• Knowledge of how to improve code quality and optimises BI processes (e.g. speed, cost, reliability)

Preferred Qualifications

• Master's degree, or Advanced technical degree
• Knowledge of data modelling and data pipeline design
• Experience with statistical analysis, co‑relation analysis

Our 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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company

ASSPL - Karnataka - B56

Job ID: A10573130