Business Intel Engineer, Amazon Business Payments

Amazon; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading company in the tech industry is seeking a Business Intelligence Engineer to drive analytics and insights for global executive teams. The successful candidate will analyze data to support key business decisions while developing metrics and reporting solutions to influence strategies across multiple regions.

Qualifications

• 2+ years of experience analyzing and interpreting data.
• Experience with data visualization tools.
• Experience with scripting languages, preferably Python or Java.

Responsibilities

• Own design, development and maintenance of reports and metrics.
• Analyze data to drive strategic business decisions.
• Drive alignment of analytical initiatives across global teams.

Skills

Data Analysis

Data Visualization

SQL

Statistical Analysis

Python

Education

Master's degree or Advanced technical degree

Tools

Tableau

QuickSight

Excel

Job description

Business Intel Engineer, Amazon Business Payments

Amazon Business Payments and Lending organization is seeking a highly quantitative Business Intelligence Engineer to drive the development of analytics and insights. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and sparring partner, developing analytical solutions that global executive management teams and business leaders will use to deep dive into the businesses and define strategies.

Our team offers a unique opportunity to build a new set of analytical experiences from the ground up. You will be part of the team that is focused on payments around the world. The position is based out of India but will interact with global leaders and teams across Europe, Japan, and US. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred.

Note: This role is part of the rekindle program. For more details on rekindle program, please visit -
https://www.amazon.jobs/en/landing_pages/rekindle

Key job responsibilities
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools.
- Retrieve and analyze data using SQL, Excel, and other data management systems and develop reporting and data visualization solutions –using tools like AWS QuickSight and Looker.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Model data and metadata to support the reporting pipelines and automate the manual reporting solutions.
- Understand trends related to business metrics and recommend strategies to stakeholders to help drive business growth. Reporting of key insight trends, using statistical rigor (Hypothesis testing, measuring experiment success defining statistical significance, developing basic regression and forecasting models) to simplify and inform the larger team of noteworthy story lines.

A day in the life
- Analyze data and find insights to either drive strategic business decisions or to drive incremental signups or revenue.
- Define and develop business critical metrics and reports across all international business levers, key performance indicators, and financials.
- Own alignment and standardization of analytical initiatives across the global business teams
- Drive efforts across international business leaders, BI leaders and executive management across Europe, Asia and North America.
- Own key executive reports and metrics that are consumed by our VPs and Directors
- Provide thought leadership in global business deep dives across a variety of key performance indicators

BASIC QUALIFICATIONS

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- 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)

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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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.