Business Intelligence Engineer, AOP - ROW APEX

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

Job summary

Amazon is seeking a Business Intelligence Engineer for its Analytics Ops and Programs team in Hyderabad. The successful candidate will be responsible for designing and implementing analytical frameworks and ensuring data accuracy to drive key business decisions. With a focus on data processes, collaboration with multiple teams, and delivering insights, this role offers the chance to innovate within a customer-obsessed environment. The ideal candidate has experience with scripting languages and analytics tools, along with a strong analytical background.

Qualifications

• Minimum 2+ years of data analysis experience.
• Experience designing custom reporting systems using automation tools.
• Knowledge of data modeling and data pipeline design.

Responsibilities

• Build scalable and automated data processes for decision making.
• Own design and maintenance of BI solutions and reports.
• Collaborate with teams to build analytical solutions.

Skills

Scripting languages (e.g., Python, Java, R)

Data interpretation with Redshift, Oracle, NoSQL

Code quality improvement and optimization

Analytics visualization tools (e.g., Excel, Tableau)

Statistical analysis methods

Education

Master's degree or advanced technical degree

Tools

Tableau

QuickSight

PowerBI

Job description

Description

Analytics Ops and Programs team in Hyderabad 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 prioritize 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 analyzing data and liaising with relevant team(s) to plug it and analyzing 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 organization 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 modeling, 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.

Basic Qualifications

• Experience with scripting language (e.g., Python, Java, or R)
• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
• 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 in designing and implementing custom reporting systems using automation tools

Preferred Qualifications

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

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