Practical Farmers of Iowa is a nonprofit organization dedicated to equipping farmers with the tools they need to build resilient farms and communities. They are seeking a Data Collection Systems Coordinator to support their data systems and member engagement department by building and maintaining data systems for program delivery, reporting, and technical assistance.
Responsibilities
- Design and implement data collection tools:
- Build, configure and maintain farmer-facing surveys in Airtable, Qualtrics and Jotform based on standards defined by the data systems engineering manager
- Design and implement data management tools:
- Implement standardized field structures, validation logic, conditional flows and embedded data patterns
- Execute quality assurance checks prior to launch (data field mapping, required logic, response capture, edge cases)
- Maintain existing Airtable table structures, views, interfaces and automations using established patterns
- Apply naming conventions, field types and relationship standards consistently across bases
- Perform routine schema updates (new fields, option updates, deprecations) as directed
- Assist with metadata upkeep (field descriptions, usage notes, status flags)
- Analyze data and report results:
- Monitor live collection periods for data quality issues and flag anomalies
- Run quality control checks during active data collection windows
- Implement data operations protocols to ensure data operations are organized and run efficiently:
- Resolve routine data issues (missing fields, formatting errors, mismatched IDs)
- Investigate data anomalies and apply corrective actions using established data integrity and validation standards
- Implement and support system integrations (Zapier, webhooks, imports) using established patterns and protocols
- Prepare materials and information required for reporting operations:
- Prepare exception lists for review when issues exceed defined thresholds
- Assist with preparation of data exports and payloads for external platforms (e.g., FPC, MRV tools)
- Assemble funder-ready outputs using approved templates and datasets
- Apply consistent labeling, year logic and formatting to field names, interface structures (reporting dashboards), formatting instructions and filter labels
- Maintain documentation of assumptions, versions and reporting changes
- Prepare draft outputs for review
- Provide technical assistance to seasonal staff on established systems and routine issue resolution:
- Support onboarding of seasonal staff into established systems
- Serve as first-line support before issues escalate to the data systems engineering manager
- Write articles, stories, reports or technical documentation for internal audiences on system workflows, integrations and troubleshooting topics:
- Document integration steps and failure points
- Create and maintain internal documentation for Airtable workflows, survey operations and common troubleshooting steps
Skills
- Understanding of relational data architecture
- Working knowledge of survey-based data collection principles?
- Working knowledge of data integrity and standardization concepts
- Basic understanding of integrations with external data platforms
- Understanding of responsible artificial intelligence usage principles
- Understanding of survey implementation and quality assurance protocols
- Working knowledge of high-accuracy data handling
- Ability to clearly explain processes and create concise documentation
- Ability to use AI as a productivity tool
- Ability to execute goals and workplans within clearly defined standards
- Ability to manage repetitive, high-volume work accurately
- Ability to support teams of various sizes with fluctuating seasonal work volumes
- Ability to communicate and work effectively with AI tools
- Adept at applying sound judgement to AI outputs
- Applied understanding of agricultural data?
- Practical understanding of AI-assisted workflows
- Working knowledge of supporting third-party integrations (Zapier, webhooks, MuleSoft)
- Ability to independently coordinate assigned projects and goals?
- Working knowledge of script maintenance within JavaScript ?
- Experience building and maintaining systems for non-technical users
- Understanding of using AI as a problem-solving tool
- Ability to refine and iterate on AI prompts
- Ability to recognize potential for problems and errors early
- Ability to anticipate downstream impacts
- Ability to identify repeatable AI use cases
Benefits
- Employee health insurance with 100% employer-paid premium
- Generous paid time off
- Flexible hours
- Six weeks of fully paid parental leave
- 5% automatic 401k contribution after one year of employment
- Contributions towards spouse or dependent health insurance
- Stipends for remote and hybrid workers
- Reimbursements for wellness costs
- Local food and CSA subscriptions
- Student loans or eco-friendly purchases
Company Overview
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