Organize a structured data cleanup and integrity project
Identify, merge, and resolve duplicate company and contact records
Improve basic data hygiene (naming, ownership, required fields)
Review and improve taxonomy design, including tagging and list structures, to better support marketing, events, and recruitment workflows
Apply standardized categories (e.g., partner sectors, solution types) across platforms
Document and implement data standards and conventions (e.g., how companies, contacts, sectors, and solutions should be recorded)
Partner with the Programs, Partnerships, and Marketing teams to understand their workflows and translate them into clear data requirements
Prepare data configurations to support integrations and automations
Where appropriate, use or suggest AI tools (e.g. ChatGPT, Claude) to assist with data classification, deduplication strategies, and workflow automation design
Create clear how‑to guides and documentation to enable maintenance of data integrity
Support additional data or systems-related initiatives as time permits

Requirements

Systems thinker with strong attention to detail and interest in working with structured data
Experience with CRM or database tools (HubSpot strongly preferred; Airtable or similar platforms also relevant)
Ability to manage projects independently and follow through on tasks with a high degree of ownership
Strong organizational and time-management skills, with the ability to manage multiple priorities
Clear communication skills (written, verbal, and interpersonal), with the ability to collaborate across teams
A solutions-oriented mindset, with resourcefulness and a willingness to learn in a fast-paced, “all-hands-on-deck” environment
Coursework or academic experience in data science, data analytics, computer science, information systems, or a related field (Preferred)
Experience working with structured datasets (e.g., data cleaning, tagging, database organization, or analysis projects) (Preferred)
Familiarity with tools such as Excel (advanced), Airtable, SQL (basic), or similar data tools (Preferred)
Experience using AI tools (e.g., ChatGPT, Claude) to support data workflows, analysis, or automation (Preferred)
Interest in or passion for clean energy, sustainability, and climate innovation (Preferred)

Benefits

$17/hour and/or school credit
Ownership of a meaningful project
Exposure to multiple teams, networking events, mentorship
Opportunity to present work to leadership

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data cleanupdata integritydata hygienetaxonomy designdata standardsdata configurationsdata classificationdata deduplicationdata analysisstructured datasets

Soft Skills

attention to detailproject managementorganizational skillstime-management skillsclear communicationcollaborationsolutions-oriented mindsetresourcefulnesswillingness to learnindependence