Business Data Analyst - Report Automation Focus (Intern)

Teledyne Technologies IncorporatedMountain View, CA

About The Position

Be visionary Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research. We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins. Job Description We are looking for a highly motivated Business Data Analyst Intern to support our growing need for data automation, advanced analytics, and AI‑assisted reporting. This role is well‑suited for a student who enjoys working with data, writing code, and improving business processes through automation. The intern will work on real operational datasets, help streamline reporting workflows using SQL, Python, and Power BI, and investigate how emerging AI tools can accelerate analytics, summarization, and chart generation.

Requirements

  • 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.
  • Strong analytical thinking, attention to detail, and desire to solve problems with technology.
  • Ability to learn quickly, work independently, and collaborate with multiple teams.
  • Coursework or exposure to AI/ML, especially LLM‑based tools or Python data libraries (Pandas, NumPy, Matplotlib, Scikit‑Learn).

Nice To Haves

  • Some experiences with Power BI, Tableau, or similar BI/visualization tools is preferred.

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.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service