What You'll Bring
- 3-4 years of experience in Data Analytics, Business Intelligence, Data Engineering, or related fields.
- Bachelor’s degree in engineering, Computer Science, Data Science, Statistics, Mathematics, or a related discipline; MBA preferred.
- Strong proficiency in SQL, Python, Tableau, and Power BI
- Experience with AWS data and analytics services including S3, Glue, Athena, Redshift, Lambda, SageMaker, and Bedrock, REST APIs, Git/GitHub
- Knowledge of ETL/ELT development, data modeling, statistical analysis, and machine learning techniques.
- Hands-on experience with Generative AI, LLMs, Retrieval-Augmented Generation (RAG), Prompt Engineering, and Agentic AI frameworks.
- Experience developing workflow automation and business applications using Power Apps, Power Automate, or similar platforms.
- Strong analytical thinking, problem-solving, stakeholder management, and communication skills.
- Passion for innovation, continuous learning, and driving business transformation through data and technology.
This position offers the opportunity to work at the intersection of Data, Cloud, Automation, AI, and D&T Transformation, helping shape the future of digital capabilities and data-driven innovation across the organization.
