At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

We are looking for a strong Quality Engineering candidate who can flex across MTS-2 and MTS-3 expectations depending on depth of experience, ownership, and technical maturity. This role is ideal for someone who brings deep hands-on automation skills with solid manual testing foundations, and who is excited to work on products spanning mobile, TV/CTV, web, backend services, and large-scale data pipelines.
This person will work across Nielsen Pulse / Streaming+, EMM / panel applications, and adjacent digital measurement platforms. The role requires end-to-end quality ownership across user journeys, platform integrations, data collection flows, and backend validation in a domain where correctness, scale, and platform diversity matter.
The ideal candidate is comfortable testing not just UI behavior, but also events, telemetry, APIs, databases, data pipelines, and platform-specific edge cases across Android, iOS, web, and TV environments. They should be able to design robust automation, perform deep debugging, and partner closely with engineering, product, data, and operations teams to ship high-quality releases.

Own test strategy, planning, execution, and sign-off for features spanning manual and automation coverage

Build and maintain scalable automation frameworks for UI, API, integration, and regression testing

Validate complex end-to-end flows across mobile, TV/CTV, web, backend services, and data pipelines

Perform deep validation of data correctness across logs, APIs, databases, batch jobs, event streams, and downstream reports

Design test cases for large-volume, high-variability, real-world datasets and platform combinations

Investigate production issues, reproduce complex defects, and drive root-cause analysis with engineering teams

Validate streaming/data donation flows, permissions, onboarding, telemetry, reward logic, and panel-related workflows

Partner with developers, product managers, designers, data engineers, and stakeholders to ensure quality from requirements through release

Improve CI/CD quality gates, regression coverage, release confidence, and defect prevention practices

Contribute to test planning for new devices, OS upgrades, beta releases, and cross-platform compatibility validation

Create and maintain test documentation, test evidence, dashboards, and release-quality communication

Mentor junior QA engineers or peers in test design, debugging, automation, and quality best practices

Required Skills & Qualifications:

6+ years of experience in software testing / quality engineering

Strong hands-on experience in test automation, with good grounding in manual exploratory and functional testing

Experience testing across some combination of Android, iOS, web, CTV/TV, and backend systems

Strong understanding of API testing, service validation, and backend workflow testing

Experience validating large datasets, event pipelines, reporting outputs, or analytics systems

Strong SQL and data validation skills, including comparison of source vs processed outputs

Experience debugging issues using logs, network traces, device logs, browser tools, and backend evidence

Strong understanding of test design, regression planning, edge-case identification, and defect lifecycle management

Experience working in Agile teams with cross-functional collaboration

Ability to independently own features, drive clarity in ambiguous situations, and balance speed with quality

Experience in panel, measurement, attribution, or data donation ecosystems

Experience working with CTV platforms such as Android TV, Apple TV/tvOS, Fire TV, Roku, or similar

Experience testing OS transitions, device-specific behaviors, and platform permission models

Exposure to analytics instrumentation, event schemas, or certification-style validation workflows

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