Data Analyst - Entry Level (Remote)

Jobsultant Solutions; Charlotte (NC); Remote; USD 60,000 - 80,000; Full time

Job summary

A global energy services provider is seeking an Entry Level Data Analyst for a remote position. The candidate will perform data engineering, model deployment, and analyze complex datasets to derive insights. Strong experience in Machine Learning frameworks such as Keras and TensorFlow, as well as programming skills in Python or R, is important. This role offers growth opportunities for those meeting higher qualifications, making it a rewarding career choice in the energy sector.

Qualifications

• Candidates should have industry experience in predictive modeling and data science.
• Knowledge of Keras, TensorFlow, and Scikit-Learn is essential.
• Experience working with large datasets and data visualization tools is required.

Responsibilities

• Perform data engineering, data modeling, and model deployment.
• Analyze large-scale complex data from various sources.
• Leverage Machine Learning packages to identify patterns.

Skills

Predictive modeling

Data visualization tools

Machine Learning frameworks

Statistical analysis

Strong communication skills

Education

Undergraduate degree in STEM

Master's degree in STEM

Tools

Python

R

Scala

Apache Spark

Microsoft Azure

Job description

Charlotte, North Carolina, United States

About the job Data Analyst - Entry Level (Remote)

We are looking for the right people 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 worlds 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.