Job Description

Roles & Responsibilities

We are looking for an IT-skilled Manual Data QA to support data accuracy and reliability through manual SQL-based validation and technical data analysis.

Work Context

• Environment: Technical data monitoring within a SaaS release pipeline.
• Focus: Ensuring the integrity of data collected through automated flows.
• Objective: Identifying and resolving discrepancies before they impact business reports.

Key Responsibilities

• Data Validation: Perform rigorous discrepancy analysis to ensure data integrity and consistency.
• SQL Testing: Execute MySQL queries to identify, investigate, and report data anomalies.
• Flow Audit: Verify data collection and synchronization across APIs, SFTP, and SaaS environments.
• Documentation: Record technical findings, identify "Red Flags," and collaborate with teams to improve data quality.

Required Skills & Qualifications

• Technical Knowledge: Knowledge of SQL (MySQL), APIs, JSON, HTML (understanding of how web pages are structured and rendered).
• Professional Experience: At least 6 months of hands-on experience working with MySQL and within a SaaS environment is highly preferred.
• QA Expertise: Understanding of data validation and testing.
• Analysis: Analytical skills with a high level of attention to detail.
• English: Intermediate communication skills (written and spoken).
• Industry Knowledge (Plus): Understanding of Intellectual Property principles (such as trademarks or industrial designs).

Soft Skills

• Problem-Solving: Ability to investigate data issues and find root causes.
• Accountability: High level of autonomy and ownership of your tasks.
• Communication: Clear and effective teamwork.
• Adaptability: Willingness to learn and strong time management skills.

Desired Candidate Profile

Required Skills & Qualifications

• Technical Knowledge: Knowledge of SQL (MySQL), APIs, JSON, HTML (understanding of how web pages are structured and rendered).
• Professional Experience: At least 6 months of hands-on experience working with MySQL and within a SaaS environment is highly preferred.
• QA Expertise: Understanding of data validation and testing.
• Analysis: Analytical skills with a high level of attention to detail.
• English: Intermediate communication skills (written and spoken).
• Industry Knowledge (Plus): Understanding of Intellectual Property principles (such as trademarks or industrial designs).

Soft Skills

• Problem-Solving: Ability to investigate data issues and find root causes.
• Accountability: High level of autonomy and ownership of your tasks.
• Communication: Clear and effective teamwork.
• Adaptability: Willingness to learn and strong time management skills.