Job Description

Job Title: Part-Time Remote Data Analyst

Location: Remote (U.S. based only)

Organization: The Nature Conservancy

Type: Part-Time, Contract/Flexible Hours

Interested candidates should submit their resume and a brief cover letter to hr@recruiteremote.online

About Us:

At The Nature Conservancy , we’re driven by a mission to conserve the lands and waters on which all life depends. As one of the most effective and wide-reaching environmental organizations in the world, we are grounded in science and committed to delivering results that matter for people and nature. Join us to help turn data into meaningful action for the planet.

Position Summary:

We are seeking a detail-oriented, analytical, and mission-driven Part-Time Data Analyst to support our conservation and operations teams. In this remote role, you’ll collaborate with cross-functional stakeholders to analyze environmental, operational, and donor-related data, helping us measure impact, improve efficiency, and guide strategic decision-making.

Responsibilities:

• Gather, clean, and interpret large datasets from multiple sources including environmental, fundraising, and operational systems
• Create dashboards, reports, and data visualizations to communicate insights clearly to non-technical stakeholders
• Collaborate with program managers, scientists, and fundraising staff to identify data needs and solutions
• Perform statistical analysis and identify trends, patterns, and areas of improvement
• Ensure data integrity and assist in maintaining database systems

Qualifications:

• Bachelor's degree in Data Science, Environmental Science, Statistics, Computer Science, or a related field
• 2+ years of experience in a data analyst or similar role
• Proficiency in tools such as Excel, SQL, Tableau, Power BI, or Python/R
• Strong communication and storytelling skills with the ability to present data insights clearly
• Passion for environmental conservation and The Nature Conservancy’s mission
• Self-motivated with the ability to work independently and manage time effectively

Preferred:

• Experience working with environmental or nonprofit data
• Knowledge of GIS tools or geospatial analysis

Schedule & Compensation:

• Approximately 15–20 hours per week, with flexible scheduling
• Competitive hourly rate based on experience

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