Job Title
Spreadsheet Systems Developer
Location
Global
Position Type
Volunteer
Job Description
We are seeking a highly skilled and detail-oriented Google Sheets Specialist to join our team full-time. The ideal candidate is an expert in Google Sheets, with deep experience using it to manage, analyze, and connect complex datasets — effectively using it as a relational database. This role will support data-driven decision-making across departments, build smart data systems, and automate workflows for operational efficiency.
Key
Responsibilities
• Design and maintain interconnected Google Sheets systems that mimic relational database structures.
• Normalize and organize datasets across multiple sheets and tabs for consistency and scalability.
• Create dynamic dashboards, lookup tables, and structured data flows.
• Develop formulas, array formulas, queries, and nested functions to manipulate and analyze data.
• Use Apps Script to automate data processing, integrations, and scheduled tasks.
• Build tools or templates that can be reused across the organization.
• Collaborate with teams to understand their data needs and translate them into reliable, user-friendly tools.
• Troubleshoot spreadsheet performance issues and offer scalable solutions.
• Train or support colleagues in best practices for managing and using complex Sheets systems.
• Integrate Google Sheets with other Google Workspace tools (Forms, Docs, Drive, etc.).
• Use APIs or third-party tools (e.g., Zapier, Make, BigQuery) to connect Sheets to external data sources or systems.
Qualifications
• 3+ years of professional experience using Google Sheets at an advanced level.
• Expertise with QUERY, IMPORTRANGE, ARRAYFORMULA, VLOOKUP/XLOOKUP, FILTER, REGEX, and other complex formulas.
• Demonstrated ability to use Google Sheets to simulate relational database behavior.
• Strong analytical and problem-solving skills.
• Proficiency in Google Apps Script or JavaScript.
• Excellent attention to detail and documentation practices.
• Experience integrating Sheets with CRM, ERP, or project management tools.
• Background in data analytics, information systems, operations, or related fields.
• Familiarity with SQL concepts and data modeling.
Weekly Hours
40
Originally posted on Himalayas