SPIRE ENERGY LTD
Job Title:
Part-Time Data Analyst Company:
SPIRE ENERGY LTD Location:
[Remote] Job Type:
Part-Time Industry:
Energy / Utilities About SPIRE ENERGY LTD At SPIRE ENERGY LTD, were redefining how energy powers the world. With a focus on sustainable solutions, innovation, and customer-centric strategies, were driving the transition to a cleaner, more efficient energy future. Our team is passionate about making data-driven decisions that shape tomorrow's energy landscapeand were looking for a curious, analytical mind to join us. Position Overview We are seeking a motivated and detail-oriented
Part-Time Data Analyst
to join our team. This role is ideal for individuals looking to apply analytical skills in a dynamic environment while maintaining flexibility. Youll work closely with various departments, providing actionable insights that support operational efficiency, customer satisfaction, and strategic initiatives. Key Responsibilities Analyze large datasets to identify trends, patterns, and insights. Create dashboards, visualizations, and reports for internal stakeholders. Collaborate with teams across operations, finance, and marketing to support data-driven decisions. Assist in the development of data models and predictive analytics. Ensure data integrity and accuracy by performing regular audits and validation. Support the automation of data collection and reporting processes. Present findings in a clear and concise manner to non-technical stakeholders. Qualifications Bachelors degree (or current enrollment in final year) in Data Science, Statistics, Mathematics, Computer Science, or related field. Proficiency in data analysis tools such as Excel, SQL, Python, or R. Experience with data visualization tools like Power BI, Tableau, or similar. Strong attention to detail and analytical thinking. Excellent communication and presentation skills. Ability to manage time effectively and work independently. Preferred Qualifications Previous experience in the energy or utilities sector. Familiarity with cloud-based data environments (e.g., AWS, Azure). Knowledge of statistical methods and predictive analytics. Work Schedule 1525 hours per week
(flexible schedule). Option for remote or hybrid work, depending on location and team needs. What We Offer Competitive part-time compensation. Opportunity to work with a forward-thinking, sustainability-focused energy company. Professional development and mentorship. Flexible work arrangements. A collaborative, mission-driven team environment.
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Part-Time Data Analyst Company:
SPIRE ENERGY LTD Location:
[Remote] Job Type:
Part-Time Industry:
Energy / Utilities About SPIRE ENERGY LTD At SPIRE ENERGY LTD, were redefining how energy powers the world. With a focus on sustainable solutions, innovation, and customer-centric strategies, were driving the transition to a cleaner, more efficient energy future. Our team is passionate about making data-driven decisions that shape tomorrow's energy landscapeand were looking for a curious, analytical mind to join us. Position Overview We are seeking a motivated and detail-oriented
Part-Time Data Analyst
to join our team. This role is ideal for individuals looking to apply analytical skills in a dynamic environment while maintaining flexibility. Youll work closely with various departments, providing actionable insights that support operational efficiency, customer satisfaction, and strategic initiatives. Key Responsibilities Analyze large datasets to identify trends, patterns, and insights. Create dashboards, visualizations, and reports for internal stakeholders. Collaborate with teams across operations, finance, and marketing to support data-driven decisions. Assist in the development of data models and predictive analytics. Ensure data integrity and accuracy by performing regular audits and validation. Support the automation of data collection and reporting processes. Present findings in a clear and concise manner to non-technical stakeholders. Qualifications Bachelors degree (or current enrollment in final year) in Data Science, Statistics, Mathematics, Computer Science, or related field. Proficiency in data analysis tools such as Excel, SQL, Python, or R. Experience with data visualization tools like Power BI, Tableau, or similar. Strong attention to detail and analytical thinking. Excellent communication and presentation skills. Ability to manage time effectively and work independently. Preferred Qualifications Previous experience in the energy or utilities sector. Familiarity with cloud-based data environments (e.g., AWS, Azure). Knowledge of statistical methods and predictive analytics. Work Schedule 1525 hours per week
(flexible schedule). Option for remote or hybrid work, depending on location and team needs. What We Offer Competitive part-time compensation. Opportunity to work with a forward-thinking, sustainability-focused energy company. Professional development and mentorship. Flexible work arrangements. A collaborative, mission-driven team environment.
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