<h1><strong>About Us</strong></h1><div><br></div><div><span style="color: rgba(0, 0, 0, 0.9); font-size: 14px;">Incorporated in 2014, Intuitive Apps Inc. has been deeply rooted in a legacy of transforming the industry and the way people experience technology consulting, and we’re committed to deliver a seamless, personalized experience to save costs, bring efficiencies, and making them robust.</span></div><div><br></div><div><span style="color: rgba(0, 0, 0, 0.9); font-size: 14px;">We are committed to make IT Consulting experience simpler, better and more affordable for businesses and their clients through our innovative business processes, industry best practices, continuously improving to run and change their business processes.</span></div><div><br></div>

Intuitive Apps

<div>Responsibilities:</div><div> - Develop and execute test plans, test cases, and test scripts for data analytics projects.</div><div> - Analyze and validate data transformation processes using dbt, icdeq, or other data testing tools.</div><div> - Collaborate with cross-functional teams to understand data requirements, define test objectives, and ensure data quality.</div><div> - Perform data profiling and identification of data quality issues.</div><div> - Develop and maintain testing documentation such as test plans, test cases, and test results.</div><div> - Execute data tests and evaluate results to identify defects, anomalies, or data inconsistencies.</div><div> - Work closely with data engineers and data analysts to troubleshoot and resolve issues.</div><div> - Participate in code reviews and provide feedback on data transformation logic.</div><div> - Stay up-to-date with industry best practices and emerging trends in data analytics testing.</div><div><br></div><div> Requirements:</div><div> - Bachelor's degree in Computer Science, Information Technology, or related field.</div><div> - Proven experience in data analytics testing with a focus on data transformation processes.</div><div> - Strong knowledge of dbt, icdeq, or other data testing tools.</div><div> - Familiarity with data modelling, data warehousing, and ETL processes.</div><div> - Experience in building and executing test plans, test cases, and test scripts.</div><div> - Proficient in SQL and data querying.</div><div> - Ability to analyze complex data sets and identify data quality issues.</div><div> - Excellent problem-solving and troubleshooting skills.</div><div> - Strong communication and collaboration skills.</div><div> - Detail-oriented with a commitment to delivering high-quality work</div>