Verified Job
IT / Software / Data Analyst
Data Analyst - Energy Forecasting
IT / Software / Data Analyst
#28139
Remote / WFH
Shell
Job Description
As a member of the team, your role will involve contributing to accurate energy demand forecasting using advanced analytical techniques. You will be responsible for developing and maintaining predictive models for energy consumption patterns across diverse geographical regions.
Key responsibilities include:
- Collecting, cleaning, and analyzing large datasets of energy consumption data.
- Developing and implementing statistical models and machine learning algorithms for forecasting energy demand.
- Evaluating model performance and identifying areas for improvement.
- Communicating forecast results to stakeholders and providing insights into key drivers of energy demand.
- Collaborating with other analysts to refine forecasting methodologies.
- Documenting and presenting findings in a clear and concise manner.
Required Qualifications and Skills:
- Bachelor's degree in Statistics, Mathematics, Economics, or a related field.
- Experience with statistical software packages (e.g., R, Python).
- Understanding of time series analysis techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
In addition to the job responsibilities and qualifications, you will also benefit from:
- Competitive salary and benefits package.
- Opportunities for career growth and development within a global energy company.
A typical day in your role would involve data analysis, model development, stakeholder communication, and collaboration with other team members. As a member of the team, your role will involve contributing to accurate energy demand forecasting using advanced analytical techniques. You will be responsible for developing and maintaining predictive models for energy consumption patterns across diverse geographical regions.
Key responsibilities include:
- Collecting, cleaning, and analyzing large datasets of energy consumption data.
- Developing and implementing statistical models and machine learning algorithms for forecasting energy demand.
- Evaluating model performance and identifying areas for improvement.
- Communicating forecast results to stakeholders and providing insights into key drivers of energy demand.
- Collaborating with other analysts to refine forecasting methodologies.
- Documenting and presenting findings in a clear and concise manner.
Required Qualifications and Skills:
- Bachelor's degree in Statistics, Mathematics, Economics, or a related field.
- Experience with statistical software packages (e.g., R, Python).
- Understanding of time series analysis techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
In addition to the job responsibilities and qualifications, you will also benefit from:
- Competitive salary and benefits package.
- Opportunities for career growth and development within a global energy company.
A typical day in your role would involve data analysis, model development, stakeholder communication, and collaboration with other team members.
Key responsibilities include:
- Collecting, cleaning, and analyzing large datasets of energy consumption data.
- Developing and implementing statistical models and machine learning algorithms for forecasting energy demand.
- Evaluating model performance and identifying areas for improvement.
- Communicating forecast results to stakeholders and providing insights into key drivers of energy demand.
- Collaborating with other analysts to refine forecasting methodologies.
- Documenting and presenting findings in a clear and concise manner.
Required Qualifications and Skills:
- Bachelor's degree in Statistics, Mathematics, Economics, or a related field.
- Experience with statistical software packages (e.g., R, Python).
- Understanding of time series analysis techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
In addition to the job responsibilities and qualifications, you will also benefit from:
- Competitive salary and benefits package.
- Opportunities for career growth and development within a global energy company.
A typical day in your role would involve data analysis, model development, stakeholder communication, and collaboration with other team members. As a member of the team, your role will involve contributing to accurate energy demand forecasting using advanced analytical techniques. You will be responsible for developing and maintaining predictive models for energy consumption patterns across diverse geographical regions.
Key responsibilities include:
- Collecting, cleaning, and analyzing large datasets of energy consumption data.
- Developing and implementing statistical models and machine learning algorithms for forecasting energy demand.
- Evaluating model performance and identifying areas for improvement.
- Communicating forecast results to stakeholders and providing insights into key drivers of energy demand.
- Collaborating with other analysts to refine forecasting methodologies.
- Documenting and presenting findings in a clear and concise manner.
Required Qualifications and Skills:
- Bachelor's degree in Statistics, Mathematics, Economics, or a related field.
- Experience with statistical software packages (e.g., R, Python).
- Understanding of time series analysis techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
In addition to the job responsibilities and qualifications, you will also benefit from:
- Competitive salary and benefits package.
- Opportunities for career growth and development within a global energy company.
A typical day in your role would involve data analysis, model development, stakeholder communication, and collaboration with other team members.
