QA Listening Analyst

Title: QA Listening Analyst

Location: Ukraine – Remote

Job 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-streamed to tens of millions of customers through our mobile and web apps, and our unmatched platform of hundreds of consumer device and service integrations. From smartphones to smart speakers to electric cars, TuneIn delivers live and on-demand audio from voices you trust wherever you want to listen.

Location: Remote within Ukraine

About the Role

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, which we internally call our “Ears on Team.” Our Ears On Team is part of our broader data science team, which is an integral part of our Engineering organization.

As QA Listening Analyst, you will be responsible for testing our audio content (both our Ads Free Premium stations and Ad-supported stations) that our customers hear and ensuring that it upholds the high standard of audio quality that our platform provides to over 70 million users globally.

In this role, you will contribute to expanding our quality assurance initiatives, ensuring TuneIn continues to offer an exceptional listening experience. The team leverages a variety of approaches for our user’s experience to enhance quality and identify issues.

We’re looking for you to be a TuneIn Core Value Ambassador who can ensure that we are delivering a seamless user experience that is delightful and smooth across a diverse range of devices, from smartphones and tablets to televisions and automotive systems. You are passionate about your work and embody a Growth Mindset by which you see an almost limitless array of opportunities to add value by further developing how we test, analyze and report on our listening quality to continually improve our customer experience. This role will provide the right candidate with the ability to meaningfully impact the company every single day.

Who You Are

You are passionate about Audio and Radio, and have a highly analytical mindset and technical aptitude. You enjoy listening to audio content and looking for anomalies and insights towards improvements. You also enjoy improving efficiencies and are curious and motivated to learn new skills. This role can provide a pathway for an aspiring entry-level data science analyst/ML engineer or transition into a more traditional QA Engineer focused role in time from the skills and experience that you’ll gain in this position.

What You’ll Do

During the first 3 months:

• • Perform manual listening, analysis, and monitoring of radio broadcasts, dedicating 50% of your time to detecting and reporting quality issues while identifying opportunities to enhance automation coverage over time

• • Conduct primary analyses of various audio quality issues, including content and ad insertions

• • Review and analyze existing tests and results

• • Address and troubleshoot urgent issues by reviewing logs, analyzing data, and identifying potential problems

• • Support the maintenance and optimization of machine learning models used in quality assurance processes

• • Collaborate with cross-functional teams to define, refine, and implement testing requirements and objectives

After 3 months:

• • You will dedicate approximately 20% of your time to manually listening to TuneIn’s premium stations, focusing on news, sports news, music, and podcasts (e.g., CNBC, ESPN, CNN, FOX, Bloomberg)

• • Utilize SQL to access and manipulate database tables, build reports, and automate repetitive tasks

• • Generate automated reports in Mode using SQL to monitor key metrics and ensure accountability

• • Assist in automating the recording auditing process through tools like Selenium, Android Studio, and Databricks

• • Additional tasks that may be assigned to you to ensure an exceptional listening experience for our users

What We Are Looking For

• • 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

Required Skills & Technical 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

Skills that would be a plus

• • A fundamental understanding of data processing and machine learning concepts is advantageous. Interest in Machine Learning (ML) models

• • Experience working with AdsWizz and SoundStack

Essential Behaviors for Success

• • Highly analytical – curious and proactive in identifying potential issues and continuously improving testing methodologies

• • Detail-oriented with a commitment to delivering high-quality user experiences

• • Analytical thinker with the ability to work autonomously with minimal supervision, collaborate effectively with cross-functional teams, and track, analyze, and report on data and results

• • Comfortable in an environment with high transparency and open to documenting and sharing all of your work

• • Curious with a strong willingness to learn foundational Data Science, ML, and technical skills, as well as new technologies and techniques to enhance testing effectiveness

• • Team player with excellent communication skills

• • Embody TuneIn’s values of Customer Centricity, Operational Excellence, and Teamwork

Our Perks:

• • Health and Wellness Reimbursement

• • Accounting Reimbursement Program

• • Continuous Learning Support

• • Connectivity Allowance

• • Technology Provision

• • Home Office Upgrade Assistance

Join us in ensuring that TuneIn continues to be a world-class platform that delights users worldwide.

About TuneIn

TuneIn, the world’s leading live audio service, brings together live radio, sports, news, music, podcasts, and audiobooks from around the globe. With more than 75 million monthly active users, TuneIn is one of the world’s most widely used audio platforms. TuneIn broadcasts over 100,000 owned & operated and partner radio stations. With premier distribution across 200 platforms and connected devices including Tesla and Alexa, TuneIn empowers listeners to hear what they love wherever they are, including exclusive commercial-free stations from the minds of folks like Garth Brooks. TuneIn Premium subscribers get additional exclusive access to commercial-free news from top networks like CNN, Fox News Radio, MSNBC, and Bloomberg, as well as live, can’t-miss F1, MLB, NHL, and college sports. For more information, please visit us at Tunein.com or follow us on Instagram, or X.

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Our Commitment to Diversity and Inclusion
TuneIn is reinventing radio for a truly connected world by celebrating the human voice. We’re an audio leader with a workforce as inclusive as our global audience. By offering unparalleled diversity of perspectives we connect people to the conversations that are most meaningful to them. We’re committed to growing and empowering a more inclusive community within TuneIn. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunities to excel.

For US-based candidates only We encourage you to please complete our self-identification questionnaire. This information is kept completely anonymous and not shared with any member of our interview team. Self-identification is an important tool that provides an avenue for us to anonymously share our diversity data so that we can implement strategies to continuously improve in building a culture that supports all employees, and measure our progress.