Business Data Analyst - Report Automation Focus… at Teledyne… · US -…

Summary: Teledyne Judson Technologies is a company providing advanced technology solutions for various industrial growth markets. They are seeking a highly motivated Business Data Analyst Intern to support data automation, advanced analytics, and AI-assisted reporting, focusing on improving business processes and reporting workflows. Responsibilities: - Build or improve automated dashboards, data pipelines, and recurring reports using SQL, Python, Power BI, or a combination of tools - Develop scripts or workflows that reduce manual reporting and improve data refresh accuracy and speed - Clean, transform, and validate datasets from various business systems to ensure high‑quality analysis - Support the creation and standardization of KPIs, trend reports, and operational metrics - Research and prototype ways to apply AI in analytics, including automatic insight generation, natural‑language summaries, and automated charting - Collaborate with cross‑functional teams to extract requirements, understand reporting needs, and document analytics processes - Present insights or automation improvements to stakeholders in a clear and actionable format Required Qualifications: - Pursuing a B.S. in Computer Science - Strong proficiency in at least one programming language (Python, SQL – strongly preferred, R, or C++) - Familiarity with relational databases and writing SQL queries - Some experiences with Power BI, Tableau, or similar BI/visualization tools is preferred - Strong analytical thinking, attention to detail, and desire to solve problems with technology - Ability to learn quickly, work independently, and collaborate with multiple teams Preferred Qualifications: - Coursework or exposure to AI/ML, especially LLM‑based tools or Python data libraries (Pandas, NumPy, Matplotlib, Scikit‑Learn) Required Skills: Python, SQL, Relational databases, Power BI, Tableau, Business Intelligence tools, AI/ML, Large Language Models (LLM), Python data libraries, Pandas, NumPy, Matplotlib, Scikit-Learn, Analytical thinking, learn quickly