Data Analyst - Entry Level (Remote)

Jobsultant Solutions; Atlanta (GA); Remote; USD 60,000 - 75,000; Full time

Job summary

A global energy services provider seeks an Entry Level Data Analyst for a remote position. Candidates will perform data engineering, modeling, and complex analysis of large-scale business data. Responsibilities include utilizing machine learning frameworks and visualizing insights effectively. Ideal candidates hold a STEM degree and demonstrate strong teamwork and communication skills. The position offers excellent opportunities for growth and development in a collaborative environment.

Qualifications

• Industry experience in predictive modeling, data science and analysis.
• Knowledge of Machine Learning frameworks and packages.
• Experience handling terabyte size datasets and data visualization.
• Experience writing code in Python, R, Scala.
• Strong communication skills and teamwork.
• Completion of an undergraduate degree in STEM.

Responsibilities

• Perform data engineering, data modeling and model deployment.
• Analyze large scale complex business data and draw insights.
• Conduct statistical analysis to determine trends.
• Work with data engineers to design data pipelines.
• Design graphs, charts, tables, and other data visualizations.

Skills

Predictive modeling

Data science

Machine Learning frameworks

Data visualization tools

Education

Undergraduate degree in STEM

Master’s degree in STEM (preferred)

Tools

Python

R

Scala

Keras

TensorFlow

Scikit-Learn

Azure

Apache Spark

Job description

About the job Data Analyst - Entry Level (Remote)

We are looking for the right people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Description & Responsibilities:

• Data Scientist under general supervision will perform data engineering, data modeling and model deployment.
• Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights.
• Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models.
• Conduct statistical analysis to determine trends and significant data relationships.
• Keep up to date with latest Machine Learning and Artificial Intelligence advancements.
• Work with data engineers to design and construct data pipelines for reproducible analysis.
• Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark.
• Present results of analyses, including design of graphs, charts, tables, and other data visualizations.

Qualifications:

• Industry experience in predictive modeling, data science and analysis.
• Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.
• Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools.
• Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.
• Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
• Completion of an undergraduate degree in STEM. Master’s degree in STEM is preferred.

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.