QA Listening Analyst

5 days ago

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Logo of TuneIn

TuneIn

Radio • Content • Audio • Sports • Music

51 - 200

Description

• At TuneIn, we are reinventing radio for a connected world with live sports, up-to-the-minute news, curated music, millions of podcasts, and over 120,000 streaming radio stations. • TuneIn is seeking a well-organized, highly analytical, and team-oriented QA Listening Analyst to play a pivotal role in its small but mighty team. • As QA Listening Analyst, you will be responsible for testing our audio content to ensure high audio quality for over 70 million users globally. • Contribute to expanding our quality assurance initiatives, ensuring TuneIn continues to offer an exceptional listening experience. • We’re looking for you to be a TuneIn Core Value Ambassador who can ensure seamless user experiences across a diverse range of devices. • You are passionate about your work and exhibit a Growth Mindset, seeing opportunities to add value by further developing testing, analyzing, and reporting on our listening quality. • This role will provide the right candidate with the ability to meaningfully impact the company every single day.

Requirements

• A minimum of 2 years of experience in a related technically oriented role such as Quality Assurance Analyst, Data Analyst, Audio Engineer, or related role with experience with manual testing and issue identification • At least 1 year of experience in data analysis or demonstrated strong analytical abilities • Proficient in manual testing techniques and best practices • Knowledge of SQL for data access, manipulation, and reporting • Basic Python knowledge is necessary for creating, managing, and optimizing automation workflows to enhance efficiency, accuracy, and productivity • Basic familiarity with automation tools and frameworks such as Selenium, Databricks, and Android Studio • Experience in generating and interpreting reports through tools like Mode, Databricks, or similar platforms • A fundamental understanding of data processing and machine learning concepts is advantageous. Interest in Machine Learning (ML) models • Experience working with AdsWizz and SoundStack

Benefits

• Health and Wellness Reimbursement • Accounting Reimbursement Program • Continuous Learning Support • Connectivity Allowance • Technology Provision • Home Office Upgrade Assistance

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