Business Intelligence Engineer, AOP

Teknik, data och digitalt · Data, AI och analys · Business intelligence · Dataanalys · Data engineering

I korthet

The Analytics Operations & Programs team in Bangalore is seeking a Business Intelligence Engineer to build scalable data processes and BI solutions. This role involves analyzing data to streamline operations, identifying process gaps, and collaborating with various teams to provide data-driven insights and decision-making capabilities.

Ansvarsområden

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.
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.

Krav

2+ years of analyzing 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 optimizes BI processes (e.g. speed, cost, reliability).

Önskade kvalifikationer

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

Färdigheter

RedshiftOracleNoSQLExcelTableauQuickSightMicroStrategyPowerBIt-testChi-squaredPythonJavaR

#Business Intelligence#Analytics Operations#BI Solutions#Data Analysis#Data Processing#Reporting#Dashboards#Data-Driven Decisions

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