Responsibilities of the Candidate:

• Collaborating with many Gartner teams such as product, research, and technology on business requirements, data access, processing/transformation, and reporting needs and leveraging existing and new tools to provide solutions
• Leveraging internal tools to systematize or automate manual processes where possible (e.g., data harvesting, business mappings)
• Supporting the creation of a data repository through data discovery, transformation, and building a data pipeline for scale
• Providing clean and curated datasets to end users by applying best practices in data transformation, testing, deploying, and documentation

Requirements:

• Bachelor’s or master's degree in engineering or associated technical field
• 0-2 years of professional experience working with large datasets - transforming, cleaning, and building data pipelines
• Experience in building and maintaining data systems/databases from multiple sources
• Experience in Python and relational DB (SQL, NoSQL, etc.)
• Experience with Business Intelligence Platforms (PowerBI, Tableau, Qlik, etc.)
• Familiarity with cloud technologies such as GCP, AWS, Azure, etc