Data Analyst - Entry Level (Remote)

Jobsultant Solutions; Buffalo (NY); Remote; USD 60,000 - 80,000; Full time

Job summary

A global energy solutions provider seeks an Entry Level Data Analyst to perform data engineering, analysis, and model deployment. In this remote role, you'll analyze large datasets, leverage machine learning techniques, and work alongside data engineers. Candidates should have a background in STEM and experience with Python, R, and Machine Learning frameworks. Strong communication and teamwork skills are essential. This position offers a chance to work with cutting-edge technologies in a supportive environment.

Qualifications

• Experience in predictive modeling, data science, and analysis.
• Knowledge of Machine Learning frameworks and packages.
• Experience handling large datasets and using visualization tools.
• Experience in coding with Python, R, Scala, and Spark.
• Strong communication skills and teamwork experience.
• Completion of an undergraduate degree in STEM is required.

Responsibilities

• Perform data engineering and modeling under supervision.
• Analyze complex business data to draw insights.
• Leverage Machine Learning for data pattern identification.
• Conduct statistical analyses to determine trends.
• Design and construct data pipelines with data engineers.
• Present analysis results using visualizations.

Skills

Predictive modeling

Data science

Analysis

Teamwork

Strong communication skills

Education

Undergraduate degree in STEM

Master's degree in STEM

Tools

Python

R

Scala

Apache Spark

Machine Learning frameworks (Keras, TensorFlow, Scikit-Learn)

Microsoft Azure

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.