Data Analyst, Excel

About the Role

This role involves analyzing large and complex datasets, identifying meaningful patterns, developing predictive models, and presenting findings that support business decisions. Working under general supervision, the selected candidate will use machine learning frameworks, statistical methods, and cloud and distributed computing technologies to support data analysis and model deployment. The work also involves collaborating with data engineers to build reproducible data pipelines and communicating analytical results through clear visualizations.

Key Responsibilities

• Perform data engineering, data modeling, and model deployment under general supervision.
• Analyze large, complex business datasets from multiple sources, including time-series, structured, and unstructured data.
• Use open-source machine learning and deep learning packages to identify data patterns and develop predictive models.
• Conduct statistical analyses to identify trends and significant relationships within data.
• Keep up to date with developments in machine learning and artificial intelligence.
• Collaborate with data engineers to design and build data pipelines that support reproducible analysis.
• Use cloud computing technologies such as Microsoft Azure and distributed computing technologies such as Apache Spark.
• Analyze large-scale datasets, including datasets measured in terabytes, to uncover patterns and insights.
• Present analytical findings through graphs, charts, tables, and other data visualizations.

Requirements & Tech Stack

• Industry experience in predictive modeling, data science, and data analysis.
• Knowledge of machine learning frameworks and packages, including Keras, TensorFlow, and Scikit-learn.
• Knowledge of cloud computing platforms such as Microsoft Azure.
• Experience handling terabyte-scale datasets and identifying patterns through data analysis.
• Experience with data visualization tools.
• Programming experience in Python, R, and Scala.
• Experience with distributed computing technologies such as Apache Spark.
• Demonstrated teamwork, strong communication skills, and the ability to collaborate on complex engineering projects.

Qualifications

• An undergraduate degree in a science, technology, engineering, or mathematics (STEM) field.
• A master's degree in a STEM field is preferred.

Work Location: Remote (El Paso, Texas)