Job Description

As a Sr. Behavioral Researcher focusing on apps, you will play a role in ensuring the accuracy, integrity, and efficiency of panelist-facing apps. You will serve as the voice of our panelists, applying a range of research methods to understand user behaviors and motivations. You will execute primary and secondary research projects, including defining key research questions, designing and implementing appropriate data collection methods, executing analysis plans, and communicating results. You will collaborate across teams and earn trust from our business partners to implement impactful panel methodologies. Your insights will directly inform the design, strategy, and evaluation of our panelist-facing products.

This position is a Hybrid role and will require being in the office at least 2 times per month.

Responsibilities

• Become an expert in Nielsen Panels and media measurement, with a focus on research methods and panelist experience.

• Plan and Execute Research: Design, plan, and conduct end-to-end research studies (both generative and evaluative). Analyze in-app data (analytics), installation/deinstallation metrics, and UX metrics; develop new and use existing panelist metrics to identify trends and validate hypotheses. May also support mixed-methods/qualitative studies.

• Analyze and Synthesize Data: Collect, interpret, and synthesize technical app data (including installation/deinstallation trends over time, predictive models to predict deinstallation, etc.) research findings into clear, actionable, and impactful insights, focusing on the needs of Nielsen panelists across various measurement products (e.g., TAM, PPM).

• Deliver and Advocate for Insights: Create detailed reports, presentations, user journey maps, and personas to effectively communicate research outcomes to designers, product managers, developers, and senior leadership. Champion a user-centered design process across the organization.

• Collaborate and Consult: Partner with Product, designers (UX/UI), Tech, Communications, and Operations teams to ensure research findings are integrated into the product development lifecycle and inform key strategic decisions on panelist communications and engagement.

• Maintain Best Practices: Stay current with the latest UX research methods, tools, and industry trends to continuously improve research practices, potentially including best practices from organizations like the Nielsen Norman Group (NN/g).

 

 

Qualifications

• Education: Master’s degree in Human-Computer Interaction (HCI), Cognitive Science, Psychology, Sociology, Design, Survey Methodology, Linguistics, or a related field

  • Bachelor’s degree may be considered for candidates with exceptional and relevant experience

• Experience: 5+ years of professional work experience in a field that uses research to understand and influence human behavior (e.g., Industrial/Organizational Psychology, Organizational Behavior, Behavioral Economics, etc.) with hands-on experience in multiple quantitative and/or qualitative research methods

• Intellectual curiosity and a desire to use data to answer questions and develop solutions

• Excellent data storytelling skills, regardless of type of data - with the ability to manipulate, interpret, and tie results back to business needs and translate research into actionable design and product

• Well-organized, clear communication, and an ability to adapt to a wide range of audiences/report-out formats

• Strong project management skills and an ability to handle multiple competing projects/priorities in a fast-paced environment

• Strong interpersonal skills and team mentality, ability to effectively influence, negotiate and communicate within and across various levels in the organization and form meaningful working relationships

• Critical thinking and creativity that enables exploration of opportunities for new research innovations, even within business constraints

• Experience with research tools such as SurveyJS, Qualtrics, UserTesting, dScout

• Experience with Figma, Figjam

• Experience in coding and analysis using Python, SQL and Spark

• (Preferred) Domain expertise in statistical analysis and/or audience measurement

 

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Additional Information

#Hybrid

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