Data Analytics and Reporting, Spring Research Assistant, Internship

Posted Oct 20

This is a fully remote position, open to applicants in Arizona, +26 more states.

πŸ“‹ Description

β€’ Develop new dashboards

β€’ Streamline reporting processes through automation

β€’ Facilitate data-driven process and program enhancements

β€’ Assist with ongoing firm-wide sustainability analytics and reporting efforts

β€’ Participate in emissions accounting activities

β€’ Aid in regulatory reporting tasks

β€’ Support assessments of physical climate risks

β€’ Contribute to LP engagement initiatives

β€’ Collaborate with the Data, Analytics, Reporting, and LP Engagement (DARL) team


⛳️ Requirements

β€’ Must be authorized to work in the U.S.; this position does not offer employment-based immigration sponsorship

β€’ Candidates must reside in one of the following states during the internship: AZ, CA, DC, FL, GA, IL, NJ, NY, TN, TX, VA, WI, AR, CO, IN, KY, LA, MA, MI, MN, MO, NE, NH, NC, OH, PA, SC, UT, WA, WY

β€’ Graduate student or an advanced undergraduate (i.e., a student entering their final year of undergraduate studies)

β€’ Strong data analytics capabilities, including proficiency in Microsoft Excel and ideally one or more additional statistical tools (e.g., VBA, Python, R, SQL)

β€’ Extensive experience in data visualization, with knowledge of one or more dashboarding tools (e.g., Power BI, Tableau, Looker, Sigma, Streamlit)

β€’ Background or proven interest in responsible investing, corporate social responsibility, climate/sustainability, or a related area

β€’ Proven ability to handle multiple projects at the same time and prioritize tasks with attention to detail, urgency, a strong work ethic, and a commitment to high-quality work

β€’ Outstanding written and verbal communication skills

β€’ Proficiency in English


🏝️ Benefits

β€’ Opportunity to gain hands-on experience in a dynamic and impactful field

β€’ Work with a team of experts and professionals dedicated to sustainability

β€’ Develop valuable skills in data analysis and visualization

β€’ Contribute to meaningful projects that promote corporate social responsibility

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