Business Intel Engineer, GO-AI
Technology, Data & Digital · Data, AI & Analytics · Data Science · Business Intelligence · Data Engineering
In short
As a Business Intelligence Engineer on the GO-AI team, you will leverage massive-scale datasets to develop foundation models for AI-powered robotic solutions. You will support leadership decision-making, design ETL pipelines, create insightful dashboards, and collaborate with cross-functional teams to impact millions of daily operations globally.
Responsibilities
- Support leadership decision-making by deep-diving into business hypotheses and anecdotes.
- Design and automate ETL pipelines for business metrics.
- Design insightful dashboards and reports for senior leadership.
- Research appropriate methodologies for analytical problems.
- Contribute to key business documents.
- Collaborate with stakeholders to understand business domains, requirements, and expectations.
- Work with data source system owners to gain insights into capabilities and limitations.
- Manage project timelines and deliverables, anticipate risks, and resolve issues.
- Adopt best practices in reporting: data integrity, test design, validation, and documentation.
- Apply knowledge of Generative AI solutions to solve business problems.
- Utilize excellent verbal and written communication skills.
Requirements
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse
- Scripting experience (Python) to process data for modeling
Desired Qualifications
- 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
- Experience working with cross-functional engineering teams developing artificial intelligence, machine learning, and/or robotic solutions
#Business Intelligence#AI#Robotics#Data Engineering#Foundation Models