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Job summary
A global energy solutions provider seeks an Entry Level Data Analyst to perform data engineering, analysis, and model deployment. In this remote role, you'll analyze large datasets, leverage machine learning techniques, and work alongside data engineers. Candidates should have a background in STEM and experience with Python, R, and Machine Learning frameworks. Strong communication and teamwork skills are essential. This position offers a chance to work with cutting-edge technologies in a supportive environment.
Qualifications
Experience in predictive modeling, data science, and analysis.
Knowledge of Machine Learning frameworks and packages.
Experience handling large datasets and using visualization tools.
Experience in coding with Python, R, Scala, and Spark.
Strong communication skills and teamwork experience.
Completion of an undergraduate degree in STEM is required.
Responsibilities
Perform data engineering and modeling under supervision.
Analyze complex business data to draw insights.
Leverage Machine Learning for data pattern identification.
Conduct statistical analyses to determine trends.
Design and construct data pipelines with data engineers.
A global energy solutions provider seeks an Entry Level Data Analyst to perform data engineering, analysis, and model deployment. In this remote role, you'll analyze large datasets, leverage machine learning techniques, and work alongside data engineers. Candidates should have a background in STEM and experience with Python, R, and Machine Learning frameworks. Strong communication and teamwork skills are essential. This position offers a chance to work with cutting-edge technologies in a supportive environment.