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Associate Data Analyst – Looker, PowerBI, DAX, SQL, Python, R, SSAS, C#, .NET, GCP
Hcmportal
IND
Full-time
Mid · 2+ years experience
Onsite
Discovered 3 weeks ago
LookerPowerBISQLPythonRGCP
Free
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Role Overview
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.
Key Skills for This Role
LookerPowerBISQLPythonRGCP
Full Job Posting
Job description
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.
Responsibilities
- Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.
- Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.
- Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.
- Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.
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