Power BI + AI Engineer - Remote
Power Bi + Ai Engineer Skill - Required Level - Weightage (%) Power BI / Tableau - Advanced - 20% Python - Advanced - 20% SQL - Advanced - 20% Snowflake - Intermediate - 15% AI/ML Concepts (LLMs) - Basic - 10% REST API Development - Intermediate - 5% Cloud Platforms (AWS/Azure/GCP) - Intermediate - 5% Required Skills and Experience: Demonstrated ability to create compelling and insightful dashboards and reports using Power BI and Tableau, including data modeling (DAX) and connectivity to various data sources. Strong understanding of connecting Power BI with cloud data sources and APIs. Advanced proficiency in Python for data manipulation, scripting, automation, and API integrations. Advanced SQL skills, including expertise in joins, window functions, Common Table Expressions (CTEs), User Defined Functions, and other SQL concepts. Hands-on experience with Snowflake, including data loading, SQL optimization, and understanding of its architecture. Experience with LLMs, Agentic AI implementation. Excellent communication and collaboration skills. Exceptional analytical and problem-solving skills with the ability to diagnose issues, propose solutions, and implement them effectively. Preferred Qualifications: Experience in advanced Exploratory Data Analysis and Data Modeling techniques to drive actionable insights. Good understanding of Cloud Computing concepts and practical usage of either AWS, Azure, or GCP. Experience with DevOps technology and cloud services. Hands-on experience with REST API implementation and integration. PowerBI certification would be an advantage. Thoughtspot knowledge would be an advantage. Power Automate and Power platform skills are good to have. What You'll Do: Collect and prepare data from diverse sources for analysis, ensuring high-quality and relevant datasets for effective decision-making. Design, create, and support AI-driven products, focusing on delivering scalable and impactful AI solutions that meet the business objectives. Perform advanced data analytics and exploratory data analysis to identify trends, patterns, and opportunities that drive strategic business decisions at Cisco. Create and manage the AI development process. Develop, enhance, and maintain interactive dashboards and visualizations using industry-leading tools (such as Power BI) to provide actionable insights for Cisco stakeholders.