Business Intelligence Engineer, Veeqo

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Sector: Engineering
Role: Professional
Contract Type: Permanent
Hours: Full Time

DESCRIPTION

Veeqo (veeqo.com) - a startup acquired by Amazon in 2021 - is Amazon's recommended multichannel inventory and shipping solution for SMB sellers. Our vision is to become the back office hub for SMB ecommerce sellers, managing fulfillment operations across all their online stores, and shipping orders to customers at the lowest cost and in the fastest possible time.

Amazon is seeking an exemplary Business Intelligence Engineer with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will possess advanced analytical and problem-solving skills, along with a passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and enjoy a fun work environment. The complexity of research and skills for a Business Intelligence Engineer involves designing and developing automated data pipelines, sophisticated analytical modeling, and intuitive data visualization. This role will be responsible for maintaining front-end code using Python, SQL, or other similar coding languages. This position has high-level visibility due to the nature of the toolsets being maintained and the network impact of analysis conducted, offering great exposure to a broad scope that can help shape the future of operational fulfillment and promote career progression.

Key job responsibilities

1. Provide data management processes such as accessing raw data feeds, building queries and macros, writing SQL code, organizing data, and designing reports that present status-at-a-glance visualization for business performance.
2. Retrieve and analyze large sets of data using Excel, SQL, and other data management systems.
3. Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions.
4. Take ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.
5. Build and manage related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.
6. Monitor existing metrics, build new metrics, and partner with internal teams to identify process and system improvement opportunities.
7. Support cross-functional teams on the day-to-day execution of the existing program implementation.
8. Generate complex queries to dive deep on process issues.
9. Innovate to improve customer experience.

1. Experience with data visualization using Tableau, Quicksight, or similar tools.
2. Experience with data modeling, warehousing, and building ETL pipelines.
3. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
4. Experience in the data/BI space.

1. Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
2. Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets.

Amazon is an equal opportunities employer. We believe that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use, and transfer the personal data of our candidates.

Amazon is committed to a diverse and inclusive workplace. Amazon does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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.

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