
201 - 500 employees
Founded 2018
🤝 B2B
☁️ SaaS
🏢 Enterprise
B2B • SaaS • Enterprise
Full Scale is a staff augmentation company that focuses on providing exceptional tech talent to businesses across various industries. Founded by Matt Watson, a seasoned tech entrepreneur, Full Scale has partnered with over 200 tech companies since its inception, offering top-notch services while fostering a positive work environment for its employees. The company's commitment to corporate social responsibility is evident in its engagement in community outreach, environmental sustainability, and educational initiatives.
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201 - 500 employees
Founded 2018
🤝 B2B
☁️ SaaS
🏢 Enterprise
B2B • SaaS • Enterprise
Full Scale is a staff augmentation company that focuses on providing exceptional tech talent to businesses across various industries. Founded by Matt Watson, a seasoned tech entrepreneur, Full Scale has partnered with over 200 tech companies since its inception, offering top-notch services while fostering a positive work environment for its employees. The company's commitment to corporate social responsibility is evident in its engagement in community outreach, environmental sustainability, and educational initiatives.
• Extract, review, and analyze data from spreadsheets, CSV files, reports, and legacy databases • Identify patterns, inconsistencies, and data quality issues across multiple files • Create data maps and transformation instructions based on required destination formats • Validate source data and recommend how it should be cleaned, structured, or interpreted • Test mapped and transformed data outputs for completeness and accuracy • Document findings, mapping logic, and process notes clearly for internal teams • Work closely with project managers and engineers to support successful data conversion projects • Help improve documentation, templates, and internal conversion processes
• Strong Excel skills (VLOOKUP, pivot tables, formulas, filters, cross-sheet analysis) • Ability to work with large, messy, and inconsistent datasets • Strong pattern recognition and problem-solving skills • High attention to detail and accuracy • Experience with relational databases and working knowledge of SQL • Strong written and verbal communication skills • Ability to translate data findings into clear, logical documentation for internal teams • Curious, analytical mindset with ability to investigate data issues deeply • Preferred: 1–2 years of experience in data conversion, data mapping, migration support, QA, or similar roles • Experience with CSV files, import templates, and data validation • Exposure to legacy systems or database exports • Experience supporting technical implementation teams • Familiarity with AI tools that improve day-to-day productivity • Open to Fresh Graduates • Fresh graduates may be considered if they have strong relevant coursework, internship experience, or project work involving: • - Excel-heavy analysis • - SQL or relational databases • - Data cleanup or validation • - Data mapping or structured documentation
• Remote-first role in a fast-growing tech company • Hands-on experience in real data conversion and migration projects • Strong learning opportunities in Excel, SQL, and data analysis • Work closely with engineers and project teams on real client work • Exposure to end-to-end data workflows and systems
Apply Now🕒 June 10
Data Analytics Associate managing complex data architecture for eFLEXervices. This role focuses on integrating diverse data streams for insightful decision-making in a BPO environment.