Data Analyst - Entry Level (Remote)

Jobsultant Solutions; Boston (MA); Remote; USD 60,000 - 75,000; Full time

Job summary

A leading consulting firm is seeking an Entry Level Data Analyst to perform data engineering and analysis in a remote role. Candidates should have experience in predictive modeling and analysis, alongside strong programming skills in Python and familiarity with Machine Learning frameworks like TensorFlow. The position requires collaboration with data engineers to design data pipelines. Recent graduates with a STEM background are encouraged to apply, providing a chance for growth within one of the largest providers of energy industry services.

Qualifications

• Experience handling terabyte size datasets.
• Capable of discovering hidden patterns in data.
• Demonstrated collaborative skills in complex engineering projects.

Responsibilities

• Perform data engineering, data modeling, and model deployment.
• Analyze complex business data to draw insights.
• Conduct statistical analysis to determine trends.

Skills

Predictive modeling

Data science and analysis

Machine Learning frameworks

Data visualization tools

Teamwork

Strong communication skills

Education

Undergraduate degree in STEM

Master’s degree in STEM

Tools

Keras

TensorFlow

Scikit-Learn

Python

R

Scala

Apache Spark

Microsoft Azure

Job description

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.

Equal Opportunities

Optimere is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Optimere does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable.

PLEASE NOTE: Optimere is unable to sponsor visas at this time. You must be a US Citizen or Permanent Resident authorized to work in the US.