Data Analyst - Excel (Work From Home)
About the Company
Jobcertify presents this opportunity with a description focused on innovation, professional development, and work in the global energy industry. The original listing describes an organization that invests in its employees and supports their career growth.
About the Role
The Data Analyst - Entry Level (Remote) listing describes responsibilities that align closely with data science, data engineering, and predictive modeling. The role involves analyzing large and complex datasets, identifying meaningful patterns, developing predictive models, and presenting findings that support business decisions. Working under general supervision, the selected candidate will use machine learning frameworks, statistical methods, and cloud and distributed computing technologies to support data analysis and model deployment. The work also involves collaborating with data engineers to build reproducible data pipelines and communicating analytical results through clear visualizations.
Responsibilities
Perform data engineering, data modeling, and model deployment under general supervision. Analyze large, complex business datasets from multiple sources, including time-series, structured, and unstructured data. Use open-source machine learning and deep learning packages to identify data patterns and develop predictive models. Conduct statistical analyses to identify trends and significant relationships within data. Keep up to date with developments in machine learning and artificial intelligence. Collaborate with data engineers to design and build data pipelines that support reproducible analysis. Use cloud computing technologies such as Microsoft Azure and distributed computing technologies such as Apache Spark. Analyze large-scale datasets, including datasets measured in terabytes, to uncover patterns and insights. Present analytical findings through graphs, charts, tables, and other data visualizations.
Qualifications
An undergraduate degree in a science, technology, engineering, or mathematics (STEM) field. Required Skills Industry experience in predictive modeling, data science, and data analysis. Knowledge of machine learning frameworks and packages, including Keras, TensorFlow, and Scikit-learn. Knowledge of cloud computing platforms such as Microsoft Azure. Experience handling terabyte-scale datasets and identifying patterns through data analysis. Experience with data visualization tools. Programming experience in Python, R, and Scala. Experience with distributed computing technologies such as Apache Spark. Demonstrated teamwork, strong communication skills, and the ability to collaborate on complex engineering projects. Preferred Skills A master's degree in a STEM field is preferred. Candidates whose qualifications exceed the minimum requirements may be considered for higher-level roles based on their experience, additional role requirements, and business needs. Pay range and compensation package The original listing does not specify a salary range, bonuses, or a detailed benefits package. It notes an organizational focus on employee development and career growth. Work Location The position is listed as remote, with El Paso, Texas, shown as the location. The original listing does not provide further details about geographic eligibility or remote-work arrangements.