AI Data Solutions Analyst

Role Overview

The AI Data Solutions Analyst will work with the Corporate Customer Marketing team to build and maintain scalable data solutions using Databricks, Python, PySpark, and SQL. The role requires a strong background in data engineering and analytics to provide actionable insights powered by generative AI.

What You Will Do

The primary responsibilities include working with product managers, data engineers, and business partners to build and maintain scalable AI-driven data solutions, supporting generative AI applications, developing dashboards and models, and providing technical problem-solving expertise.

Why It Might Be a Fit

The ideal candidate will have experience with modern data tools, process documentation, and technical problem solving, and will be able to leverage large and complex datasets to deliver insights that directly impact strategic decisions.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related technical field
• 2+ years of hands-on experience with Python, PySpark, SQL, and Databricks
• Strong experience with data preparation, cleaning, and integration for analytics and machine learning workflows
• Familiarity with cloud-based environments (Azure, AWS, or GCP) and modern data architectures
• Demonstrated ability to document and standardize processes, including writing technical and procedural documentation
• Proven ability to manage multiple projects simultaneously in a fast-paced environment
• Strong communication skills with the ability to translate technical outputs into business-relevant insights
• Results-oriented, agile, and adaptable, with a strong sense of accountability and attention to detail