A Igreja de Jesus Cristo dos Santos dos Últimos Dias→
Sustainability Intern Paid- Meetinghouse… at A Igreja de… · 50 E…
InternshipOn-site50 E North Temple St, Salt Lake City, UT, 84150
Skills
data analysisexcelprogramming - pythonprogramming - rdata interpretationsustainabilitywater conservationenergy managementanalytical skillswork collaboratively
Job Description
Summary: A Igreja de Jesus Cristo dos Santos dos Últimos Dias is seeking a Sustainability Intern to provide valuable educational experiences. The Intern will analyze data related to water usage, collaborate with the analytics team, and assist in identifying opportunities for efficiency improvements.
Responsibilities:
- Analyze data from electronic water meters across ~3,000 participants in the Waterwise program
- Identify patterns, inefficiencies, and potential water usage issues
- Review and interpret landscape survey data to detect irrigation or water management concerns
- Collaborate with the data and analytics team on energy modeling initiatives
- Support data cleaning, validation, and organization efforts
- Develop reports, dashboards, or summaries to communicate insights
- Present findings and recommendations to stakeholders
- Assist in identifying opportunities for water and energy efficiency improvements
Required Qualifications:
- Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy
- Currently pursuing a degree in Construction or Facility Management
- Strong analytical and problem-solving skills
- Experience with Excel, data analysis tools, or basic programming (Python, R, or similar)
- Ability to interpret data and identify trends or anomalies
- Ability to work independently and collaboratively
- Paid Interns are qualified while enrolled in an educational institution and for one year following graduation. They must sign a Paid Internship Engagement Letter
Preferred Qualifications:
- Interest in sustainability, water conservation, or energy management
Required Skills: Data analysis, Excel, Programming - Python, Programming - R, Data interpretation, Sustainability, Water conservation, Energy management, Analytical skills, work collaboratively