A global energy industry firm is seeking an Entry-Level Data Analyst to work remotely. The role includes data engineering, analysis of large datasets, and leveraging Machine Learning for insights. Ideal candidates will have a STEM degree and programming skills in Python or R, along with a strong foundation in data visualization tools. This position offers growth opportunities for those exceeding minimum qualifications.
Qualifications
Experience in predictive modeling and data science.
Knowledge of Machine Learning frameworks like Keras and TensorFlow.
Ability to handle large datasets and discover patterns.
Experience in coding with Python, R, and Scala.
Responsibilities
Perform data engineering and data modeling.
Analyze complex business data and draw insights.
Conduct statistical analysis for trends and relationships.
Design data pipelines for reproducible analysis.
Skills
Predictive modeling
Data analysis
Machine Learning frameworks
Data visualization
Strong communication skills
Education
Undergraduate degree in STEM
Master’s degree in STEM
Tools
Python
R
Scala
Azure
Apache Spark
Job description
A global energy industry firm is seeking an Entry-Level Data Analyst to work remotely. The role includes data engineering, analysis of large datasets, and leveraging Machine Learning for insights. Ideal candidates will have a STEM degree and programming skills in Python or R, along with a strong foundation in data visualization tools. This position offers growth opportunities for those exceeding minimum qualifications.