A Tableau Developer develops and builds technology systems that support business intelligence and analytics using Tableau software. Sets up systems for collecting data on business operations, customers or sales and supports analyses done by business intelligence analysts and other analysts across the organization.
Tableau Developer & Data Analyst with AI/GenAI Skills(GC
AND USC ONLY
) CAPY Tech Solutions Wichita, KS Job Details Temporary | Full-time | Contract $45 an hour 18 hours ago Qualifications AI models Performance dashboard reports Data integrity assurance Data model design Statistics Data quality checks Dashboard development Data visualization software proficiency Data Integration (Data management) Data mining Predictive modeling analysis Data modeling projects Data preparation projects NumPy Business intelligence report generation Dashboard creation support Generative models AI platforms (beyond public GPTs) Schema design Trend analysis Prompt engineering SQL Pandas Machine learning cloud services Business intelligence tools Machine intelligence Data quality monitoring Natural language processing APIs Predictive analytics projects Full Job Description Job Summary We are seeking a highly motivated Tableau Developer and Data Analyst with strong expertise in data visualization, analytics, business intelligence, and emerging AI technologies. The ideal candidate will transform complex data into actionable insights through interactive dashboards, advanced analytics, and AI-powered solutions that support business decision-making. Key Responsibilities Design, develop, and maintain interactive Tableau dashboards, scorecards, KPIs, and executive reports. Gather and analyze business requirements and translate them into data visualization solutions. Perform complex data analysis to identify trends, patterns, risks, and business opportunities. Develop and optimize Tableau data sources, extracts, calculations, LOD expressions, and performance tuning. Build data models and ensure data quality, consistency, and governance across reporting platforms. Utilize SQL, Python, and data analytics techniques to support business intelligence initiatives. Collaborate with business stakeholders, engineering teams, and leadership to deliver data-driven insights. Automate reporting and analytics workflows using modern analytics tools. Prepare technical documentation, user guides, and knowledge transfer materials. AI & Advanced Analytics Responsibilities Leverage Generative AI tools to improve analytics productivity and insight generation. Develop AI-assisted dashboards and intelligent reporting solutions. Implement predictive analytics and machine learning models for forecasting and trend analysis. Work with Large Language Models (LLMs) to enable natural language querying and automated report generation. Design and deploy Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge analytics. Utilize AI platforms such as Azure OpenAI, Microsoft Copilot, Amazon Bedrock, or similar AI frameworks to enhance business intelligence capabilities. Drive adoption of AI-powered analytics across business functions. Required Skills Data & Analytics Tableau Desktop and Tableau Server/Cloud Advanced Data Visualization Techniques SQL and Relational Databases Data Modeling and Data Warehousing Concepts Dashboard Design Best Practices KPI and Executive Reporting Development Data Quality Management Business Intelligence and Reporting Programming & Analytics Python (Pandas, NumPy, Scikit-Learn) Statistical Analysis Data Mining and Trend Analysis ETL/Data Preparation Excel Advanced Analytics AI & GenAI Skills Generative AI Fundamentals Prompt Engineering Large Language Models (LLMs) RAG Architecture Azure OpenAI / OpenAI APIs LangChain or Similar AI Frameworks AI-Assisted Data Analytics AI Governance and Responsible AI Practices Machine Learning Fundamentals Predictive Analytics Preferred Certifications Tableau Certified Professional Microsoft Power BI Data Analyst Microsoft Azure Data Engineer Associate Azure AI Engineer Associate Databricks Fundamentals Generative AI Certification Soft Skills Strong problem-solving and analytical thinking Excellent communication and stakeholder management Ability to present technical insights to executive leadership Strong collaboration and teamwork Self-driven and innovative mindset Nice to Have Experience in Manufacturing, Aerospace, Automotive, or Engineering domains Knowledge of AI Agents and Autonomous Analytics Microsoft Copilot Studio exposure Experience with Digital Twin and Industrial Analytics solutions
