Data Associate – (Remote)

About Open Supply Hub

At Open Supply Hub, we are powering the transition to safe and sustainable supply chains through open data. With our users, we’ve already mapped hundreds of thousands of production locations around the world, showing where global production is happening and who is connected to each location. We make that data easy for anyone to work with, opening the door to new solutions, targeted investment, and more effective collaborations. We are proud to be used by some of the world’s best known brands, as well as human rights, labor and environmental groups, to spot opportunities, build collaborations, and drive investment and impact. And our vision is to go further and to map 40-million sites globally, transforming supply chain ecosystems for the 100+ million people working in them.

Open Supply Hub, a US-based global nonprofit, is seeking a full-time Data Associate to source data and improve overall database quality related to global supply chain facilities. The Data Associate will focus on reviewing, cleaning, and organizing crowd-sourced facility data, ensuring accuracy, consistency, and completeness across the platform. We are a small but agile team looking for someone who likes a wide variety of responsibilities, enjoys collaborating closely across the organization, and is looking to apply their technical knowledge for impact.

Job Description

Reporting to the Data Team Manager, this role focuses on ensuring the accuracy, organization, and quality of data within the OS Hub platform. The Data Associate will be responsible for reviewing, cleaning, and organizing global supply chain facility data, including facility name and address information. This role involves comparing and deduplicating crowd-sourced datasets to maintain consistency and accuracy across the platform.

The Data Associate will manage facility data, such as merging, splitting, handling facility claims, closures, and suggested edits, to maintain an up-to-date and accurate representation of supply chain facilities. Additionally, the role will include labeling data for machine learning training and collaborating with the Data and Engineering teams to support the improvement of platform features. A successful candidate will be able to balance both improving the quality of our current data set while actively supporting the growth of new data on the platform.

Responsibilities

Data Management & Quality Assurance 60%

• Review, clean, and organize data related to facilities in the global supply chain, including name and address data

• Compare and deduplicate crowd-sourced datasets to ensure accuracy and consistency across the platform

• Manage facility data (e.g., merging, splitting, claims, closures, moves) to maintain a representative and accurate global supply chain database

• Monitor data quality, identify trends, and recommend process improvements such as implementing data quality checks and governance policies

Geospatial Analysis & Data Integration 20%

• Assign unique OS IDs to each production location while retaining original identification data

• Utilize OS Hub’s geocoder to verify and update geospatial coordinates (latitude and longitude) for production locations

Feedback Implementation & Collaboration 20%

• Review feedback from OS Hub partners and consult with members to address data discrepancies

• Perform necessary updates to the dataset based on partner feedback

• Support OS Hub teams in creating visualizations to showcase insights from data analysis

• Collaborate with external stakeholders on projects to clean and prepare their datasets for integration into OS Hub

• Serve as a key point of contact for public-facing data, addressing stakeholder needs with a focus on accuracy, responsiveness, and maintaining positive partner relationship

Our Commitment

OS Hub is committed to creating an inclusive and representative environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

The Ideal Candidate

• Holds a degree in Data Science, Statistics, Computer Science, or a related field

• Have 1-2 years of relevant work experience and have worked remotely before

• Experience with data analysis tools like Excel, Google Sheets, Python, R, or SQL

• Strong analytical and problem-solving skills with attention to detail

• Proficiency in data manipulation and analysis, with experience in data visualization tools being a plus

• Ability to manage time effectively and work both independently and as part of a team in a fast-paced, remote environment

Benefits & Compensation

This full-time position offers a base salary range of $50,000 to $55,000 annually, commensurate on experience and location.

• Enormous opportunities for advancement and growth alongside the growth of the organization across geographies and sectors

• Flexible working patterns, encouraging team members to work effectively and efficiently with adaptable schedules

• Remote-based role with opportunities to travel throughout the year

• 100% coverage of employee health and dental insurance premiums

• Access to 401(k) retirement plan

• Access to coworking space, if desired

• Annual office supplies stipend

• Annual professional development stipend

• Unlimited vacation leave

• Generous parental leave

• Two week office closure in December (last two weeks)

Location

While this position is remote, due to the location of the team and responsibilities of the role, we ask that the employee reside in and be eligible to work in the United States. The employee must be able to interact regularly with team members and customers in Europe and around the globe.

The position is remote, but we ask that the employee be available regularly between 14:00 and 18:00 UTC. Stand-ups and other rituals such as demos start at 16:00 UTC Monday – Thursday. To work a “typical” 9-5 workday, a candidate would need to be based in the Eastern part of the Americas, but there is some flexibility for alternative work schedules.

Apply

To apply for this position, please submit an application via the link below. Any questions can be directed to recruiting@opensupplyhub.org with the subject line: Data Associate Application.

Deadline: January 5, 2025

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