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UPS

Associate Data Analyst – Looker, PowerBI, DAX, SQL, Python, R, SSAS, C#, .NET, GCP

Job · Full-timeIn OfficeIndia2-3 years1 opening

About this role

UPS is hiring for Associate Data Analyst – Looker, PowerBI, DAX, SQL, Python, R, SSAS, C#, .NET, GCP in India. This opening was published by UPS on their official careers board (Workday) on 18 November 2025 and was confirmed live on 14 September 2026. Job details • Company: UPS • Role: Associate…

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Skills you'll use

PythonSQLPower BIMachine LearningGCPC#.NETETLCommunicationGenerative AIStatistics

What you'll do

  • Are you passionate about turning complex data into impactful stories? We're looking for a Visualization Expert who can design stunning dashboards and intuitive visualizations to power decisions across the business. You'll work at the intersection of data engineering, cloud platforms, and machine learning, enabling next-gen AI solutions to come to life through compelling visuals.
  • You’ll collaborate with ML engineers, data scientists, and product teams to help visualize everything from model performance to generative AI insights — using tools like Power BI, Looker, and Google Cloud Platform.

Who can apply

  • Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.
  • Minimum of 2 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.
  • Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.
  • Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).
  • Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.
  • Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.
  • Proficiency in SQL for data extraction and manipulation.
  • Familiarity with data warehousing concepts and data modeling techniques.

About UPS

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