Data Analyst – Entry Level

This is a fully remote position, open to applicants in Oklahoma.

📋 Description

• Execute data engineering, data modeling, and the deployment of models with general oversight.

• Analyze intricate business data at scale, encompassing time-series, structured, and unstructured data from diverse sources.

• Extract insights from business data effectively.

• Utilize open-source Machine Learning and Deep Learning libraries to uncover data patterns and construct predictive models.

• Perform statistical analyses to identify trends and significant relationships within the data.

• Stay informed about advancements in Machine Learning and Artificial Intelligence.

• Collaborate with data engineers to design and build data pipelines for reproducible analysis.

• Harness Microsoft Azure and Apache Spark technologies.

• Communicate analysis findings through graphs, charts, tables, and various data visualizations.

⛳️ Requirements

• Professional experience in predictive modeling, data science, and data analysis.

• Proficiency in Machine Learning frameworks and libraries, including Keras, TensorFlow, and Scikit-Learn.

• Familiarity with cloud computing platforms such as Microsoft Azure.

• Experience managing datasets of terabyte size.

• Proficient in using data visualization tools.

• Competence in programming languages such as Python, R, and Scala.

• Experience with distributed computing technologies like Apache Spark.

• Proven ability to work collaboratively, alongside strong communication skills in complex engineering environments.

• Completion of an undergraduate degree in a STEM field.

• A Master's degree in a STEM field is preferred.

🏝️ Benefits

• Commitment to investing in employees and enabling their personal and professional development.

• Opportunities for career progression and advancement.

• Rewards and benefits linked to working for one of the largest providers of products and services for the global energy industry.