Inspire Brands is looking to solve problems with data, collaborate with cross-functional teams, and make an impact through technology by building connections, innovation, and growth across their family of brands.
Requirements
- Strong knowledge of SQL
- Proficiency in at least one programming language (Python preferred)
- Familiarity with data modeling, ETL processes, or cloud data platforms (AWS, Azure, or GCP)
Responsibilities
- Assist in designing, developing, and optimizing data pipelines that support analytics and business intelligence across Inspire Brands.
- Work with modern tools and technologies (e.g., SQL, Python, Spark, Databricks, AWS/Azure) to clean, transform, and structure data for analysis.
- Partner with analysts and engineers to understand requirements and translate them into scalable data solutions.
- Perform exploratory data analysis to identify trends, anomalies, and insights that inform business decisions and improve data models.
- Contributing to AI proof-of-concept (POC) initiatives, such as agent development work and prototyping lightweight orchestration, evaluating feasibility, and preparing datasets for experimentation.
- Support quality assurance by validating data accuracy, troubleshooting issues, and documenting processes.
- Contribute to team projects that enhance Inspire’s data infrastructure and enable better decision-making.
Other
- Pursuing a Bachelor’s or Master’s degree in Data Engineering, Computer Science, Information Systems, or a related field.
- Excellent communication skills and the ability to work collaboratively in a team environment.
- Analytical mindset with a strong attention to detail.
