Business and Quality Assurance Analyst

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July 15

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KIS Solutions

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Technology • SaaS • Artificial Intelligence

KIS Solutions is a technology consulting company based in the United States and Brazil, specializing in delivering software systems that solve complex business problems. With a focus on improving human experiences through technology, KIS provides customized tech solutions for businesses of all sizes, from Fortune 500 companies to startups. They leverage data management, machine learning, and user-focused design to create effective and efficient systems that enhance productivity and business value.

51 - 200 employees

Founded 2012

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• This is a remote position. • We are looking for a meticulous and proactive Business & QA Analyst to join our team. • This role is pivotal in managing and executing data-centric projects across diverse markets, including Japan, Taiwan, the US, and Brazil. • You will be essential in maintaining high standards of data quality while managing various projects with different regional requirements. • As the primary liaison between clients, stakeholders, and internal teams, you will be responsible for gathering and analyzing business requirements, overseeing project management tasks, ensuring timely project delivery and accurate development based on requirements. • Your role will involve ensuring that all data-related objectives are clearly defined, dependencies are tracked, and projects adhere to their schedules, all while upholding the highest standards of data accuracy.

🎯 Requirements

• Experience driving business discovery/requirements with different teams (business and technical); • Experience creating documentation around "what the software needs to do"; • Experience testing software; • Expertise in maintaining data accuracy and validation; • Proficiency in managing data-centric projects, including task delegation and progress tracking; • Strong communication skills for articulating data accuracy requirements to diverse stakeholders; • Demonstrated leadership in guiding cross-functional teams; • Proven problem-solving abilities in data-related contexts; • High attention to detail in monitoring data dependencies and project integrity; • Effective time management to meet project deadlines; • Advanced English to communicate with stakeholders on a daily basis.