As a Sr Data Analyst, you will be effectively managing client relationships and demonstrating a strong eagerness to continuously advance their analytics skills, especially in the cutting-edge fields of generative AI and LLMs. What you need to do: - Data Analysis and Modeling: Employ Python for advanced modeling and web scraping tasks to support consulting firm clients. - API Integration Management: Implement and manage Google CC API Services, enhancing our analytics capabilities. - Advanced Excel and VBA: Develop and maintain tools using VBA for automation and complex analyses. - Machine Learning and NLP: Conduct research and analysis using machine learning and NLP techniques for actionable insights. - Generative AI and LLMs: Utilize generative AI and LLMs for innovative solutions in data processing, content creation, and analysis. - Text Analytics and Sentiment Analysis: Perform sentiment analysis and develop text analytics models for data-driven consulting services. - Chatbot Development: Design and develop custom chatbots, incorporating generative AI technologies for enhanced interactions. - Client Management: Proactively manage relationships within the consulting industry, ensuring client satisfaction and effective communication. Skillsets and Qualifications: - What you need to have: - Bachelor’s or Master’s degree in Computer Science, Data Science, -2-4 years of relevant experience in Statistics, or a related field, with coursework or experience in AI and machine learning. - Advanced skills in Excel, including VBA for automation and data manipulation. Experience in developing custom chatbots is highly valued. - Ability to leverage generative AI and LLMs for creative solutions in analytics and client projects. - Exceptional client management skills, ability to communicate complex concepts clearly, and proven to be a proactive doer. - An analytical and problem-solving mindset. - Exceptional organizational and project management skills. - Capability to lead projects in a dynamic, fast-paced environment. - Strong attention to detail with a commitment to delivering high-quality work. Core Technical Skills: Profound knowledge of Python and its applications, familiarity with various Python packages, and expertise in API use and integration, specifically with Google CC API Services. - Data Science and AI Expertise: Strong background in machine learning, NLP, sentiment analysis, text analytics modeling, and a solid understanding of generative AI and LLMs. . See Less