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

About the role

UPS is looking for a Visualization Expert who turns complex data into clear, impactful stories. The role designs dashboards and visualizations that power decisions across the business, working at the intersection of data engineering, cloud platforms and machine learning. You will collaborate with ML engineers, data scientists and product teams to visualize model performance and GenAI insights using Power BI, Looker and Google Cloud Platform.

Key responsibilities

• Design, develop and maintain interactive dashboards in Power BI and Looker, focused on clarity, performance and data accuracy.
• Connect to and use data from data lake sources on GCP, ensuring smooth data flow for visualization.
• Develop and maintain semantic models in Looker (LookML) and Power BI, including dimensions, measures, relationships and calculations.
• Create visualizations for machine learning and GenAI results, such as model predictions, feature importance and NLP outputs.
• Use GCP services such as BigQuery and Cloud Storage to access, process and prepare data.
• Elicit and document visualization requirements from stakeholders and align them with business objectives.
• Optimize dashboard performance, ensure data quality and set visualization best practices across the organization.
• Support and train colleagues on visualization tools and techniques.

Required profile

• Bachelor's or master's degree in computer science, data science, statistics, information systems or a related field.
• At least 2 years of experience as a Visualization Expert, Data Visualization Engineer or similar role.
• Proven experience building interactive dashboards and reports in Power BI and Looker.
• Strong experience with data lakes, preferably on GCP.
• Hands-on experience with semantic models, especially LookML and Power BI data modeling.
• Preferred: experience visualizing ML and GenAI outputs, a strong portfolio, and knowledge of Python or R.

Required skills

• Power BI and Looker (including LookML)
• SQL
• GCP (BigQuery, Cloud Storage); ELT/ETL preferred
• Data warehousing and data modeling concepts
• Preferred: Python or R, GCP certification, data governance and security knowledge