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RLC Data Management Internship

Data Management and Analytics Internship

About RLC

Rescuing Leftover Cuisine (RLC) is a nonprofit organization committed to fighting food insecurity and preventing wasted food. We have cultivated a network of dedicated food rescuers who bring food directly from our donors to nonprofit organizations, letting neighbors help neighbors while reaping the environmental and economic benefits of reducing wasted food. Since RLC was founded in 2013, we have rescued over 21 million pounds of food, prevented 48M+ pounds of emissions, and provided 17M+ meals to communities in need.

The Position

As a Data Management and Analytics Intern at Rescuing Leftover Cuisine, you will play a critical role in enhancing our organization’s data-driven decision-making and operational efficiency. This position focuses on data cleanup, setting and maintaining data standards and naming conventions, performing bulk imports to both Salesforce and our custom-built Ruby on Rails web application. You will work closely with our technology team, employing your skills in spreadsheet management and database understanding to improve data quality and accessibility. Your contributions will support RLC’s mission to combat food insecurity with informed strategies and optimized resource allocation.

Responsibilities:

Data Preparation and Import: Prepare Excel spreadsheets/Google Sheets for bulk import, including pulling data from various platforms to populate import templates or converting files to a format suitable for bulk import.
Data Cleanup: Identify and rectify inconsistencies or inaccuracies in both historical and new data, ensuring high data quality.
Data Standards: Develop and implement data standards and naming conventions, updating them as necessary to reflect evolving organizational needs.
Bulk Imports: Manage and execute bulk data imports to Salesforce and our web application, aligning with data standards and maintaining data integrity.
Template Creation: Design bulk import templates for various departments to ensure data is formatted correctly for efficient bulk import processes, requiring a strong grasp of data validation rules and spreadsheet functions.
Data Review: Regularly review newly imported or manually entered data to spot and correct inconsistencies or errors.
Data Analysis: Analyze data to provide insights, support decision-making, and contribute to strategic initiatives.
Collaboration: Work in tandem with RLC’s technology team to exchange findings, propose enhancements, and adopt best data management practices.

Qualifications:

Enrolled in a degree program related to Data Science, Information Systems, Computer Science, or a similar field.
Meticulous attention to detail with a strong commitment to data standards and quality.
Proficiency in data management practices, principles, and spreadsheet functions, including a solid understanding of Excel and Google Sheets.
Familiarity with Salesforce is highly desirable.
Effective communication skills for collaborating across teams.
A proactive learner, eager to contribute and adapt in a dynamic environment.

This internship offers a unique opportunity to gain hands-on experience in data management within a nonprofit setting. Your work will directly support RLC’s operations by improving data systems that enhance our efficiency and impact. If you’re passionate about food rescue and eager to apply your data skills for a meaningful cause, we encourage you to apply and contribute to our mission of redistributing excess food to those experiencing food insecurity. RLC interns work closely with the executive team and have the opportunity to make a real difference during their time with the organization.

This is a part-time, unpaid internship (up to 20 hours per week). Travel reimbursements are available for interns local to an RLC branch who actively participate in food rescue pickups. Students should consult their academic advisor to confirm credit eligibility. Interested candidates should email HR Manager Shilpi Tandon (shilpi@rescuingleftovercuisine.org) with a copy of their resume. Please note: Selected candidates will be asked to complete a brief work sample as part of the evaluation process.