BI Engineer, EU 3P Expansion

EU 3P Expansion is looking for a talented and highly motivated BI Engineer to join our team and be part of our mission to improve the Customer and Selling Partner experience across expansion marketplaces. This role offers a unique opportunity to be part of a Day-1 organization, and provides a dynamic, innovative and fast-paced environment to constantly build your skillset and address new challenges.

Key job responsibilities

• Partner with program managers & Account managers and dive deep on data to address business problems and drive business goals

• Design and implement automated reporting solutions to enable Program Managers/AMs to drive the adoption of various programs /initiatives

• Develop and monitor the business metrics, while partnering with internal and external teams to identify process improvement opportunities

• Collaborate with other BI engineers/teams to adopt best practices.

• Fostering culture of continuous improvement through automation and self serve dashboards

• Design, develop, and maintain scalable data infrastructure and ETL pipelines to support business intelligence initiatives using automated dashboard solutions

• Leverage AI and emerging innovation in data infrastructure to automate repetitive workflows, accelerate analyses, and unlock new patterns from complex datasets

• Mentoring and contributing to team's improvement

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

• Experience with data visualization using Tableau, Quicksight, or similar tools

• Experience with data modeling, warehousing and building ETL pipelines

• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

• Experience in analytics, data engineering or business intelligence from a large scale business enterprise

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

• Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

• Experience working as a BIE in a technology company

• Experience with Python or R

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