Senior Insights Analyst, Mobile Analytics

OVERVIEW

A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility – and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide. 

Across our organization, we’re building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR. This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR.

Application Deadline: Please submit your application by 11:59 pm EST on Wednesday, July 22nd, 2026

Intro to Position

The Senior Insights Analyst, Mobile Analytics will be critical to building a new, leaner, audience-centric, data-driven app that could serve NPR and partnering stations in multi-modal formats. We will drive a significant increase in weekly audience and known users, and build engaging experiences that deepen daily habits, increase listening hours, and maximize revenue yield.

As the Senior Insights Analyst, Mobile Analytics for the NPR App,  you will drive data-informed decisions for NPR’s new audience-centric app.You will be the main point of contact to formulate, help run, and analyze experimentation done on NPR’s owned and operated platforms.  Your responsibilities also include extracting insights from complex datasets, creating visualizations, and managing cross-functional relationships. As a key member of the Audience Insights team, you’ll work closely with digital product teams, the newsroom, and leaders at NPR and our member stations nationwide. You have a unique blend of thoughtful, data-driven curiosity and pragmatism. You know how to make data come to life and be actionable. And you love the idea of using data to make NPR (and the world) a better place.

Reports to the Audience Insights Senior Manager, Product.

This is a union-represented role covered under the terms of a collective bargaining agreement with NABET-CWA DMU. 

Responsibilities

• Driving critical insights based on analyses for the app product team, including assessing audience behavior, advocating for audience needs on the NPR App, running experiments, and leading relationships with relevant stakeholders
• Create and own the experimentation process on our owned and operated platforms, partnering closely with teams across the organization to understand and implement results
• Provide actionable insights and recommendations for a variety of groups across the organization as needed, including foundational trend reporting and presenting insights from deep analyses
• Independently write, implement quality controls, and train others to write complex SQL queries to provide performance analytics across app, video, and website datasets 
• Share technical expertise with co-workers and teammates to improve work product
• Work with internal teams on how they can best use data for decision-making and train them to use insights, tools and resources.
• Prioritize incoming work based on knowledge of departmental and organizational strategy
• Through deep stakeholder cultivation and understanding of the media environment, anticipate needs and develop research tools and reporting to address current and future business needs
• Deliver recommendations with a clear connection to business decisions
• Proactively communicate relevant insights to cultivate a learning culture across the organization.

The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time.

Required Skill and Qualifications 

• 5+ years demonstrated expertise in SQL and databases. BigQuery/Dataform experience is a plus. Proven expertise fetching and transforming data using SQL and analytics APIs, with proven advanced SQL knowledge, taking raw data and manipulating it for complex cohort, behavioral, and pattern analysis. 
• 5+ years demonstrated expertise in Google Firebase data and app analytics
• 5+ years demonstrated expertise with GA4 or similar large, raw datasets of digital behavior
• 5+ years demonstrated experience in Optimizely or comparable tool
• Ability to independently learn and understand new and complex data sources and integrate them with other data sets to create a complete analysis.
• Expert proficiency in Excel or Google Sheets, including writing complex formulas, validating data, and automated reporting.
• Skills in visualizing data, drawing conclusions, and explaining to a business audience, with the ability to flex style, depth, and complexity based on the audience. 
• Excellent analysis and experimental design skills with a keen sense for data gaps and inconsistencies, and experience owning data-driven research from project inception to completion. 
• Ability to assess organizational needs and prioritize requests based on the largest impact on the business.
• Proactive client and stakeholder communication, building trust and nurturing relationships to grow the culture of using audience insights.
• Deep domain knowledge, researching and following experts in the field to sustain and grow expertise.
• Excellent oral, written and visual communication skills, particularly at explaining complex quantitative information to non-technical audiences. 
• Self-starter with the ability to work independently in a constantly changing environment with little supervision, as well as in a collaborative team environment..
• Eagerness to train other team members on technical skills and collaborate with them on creating a data-driven strategy, and to contribute to team culture, providing input on standards, stakeholder management, team resources, etc. 

Preferred Qualifications

• Experience in news media
• Proven experience in analyzing data and building statistical models using R or Python.
• Proven experience in identifying complex analytical issues problems that require cross-functional collaboration and building partnerships to solve them
• Proven experience bringing teams together to solve complex problems

Work Location & Requirements

• NPR Remote-Permitted: This is a remote-permitted role. This role is based out of our Washington, D.C. office, but the employee may choose to work on a remote basis from a location that NPR approves. You will have the option of working (a) remotely from a location of your choosing within the United States that is supported by NPR; (b) on-site at an NPR facility, based on the availability of desks and approval from NPR; or (c) a combination of both. Regardless of where you choose to work from, you may be expected to travel to other locations from time to time to perform the duties of your position.

Job Type

• This is a full-time, exempt position.

Compensation

Salary Range: The U.S.-based anticipated salary range for this opportunity is $105,435.13 to $116,380.66 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Benefits: NPR provides comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR’s benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees. 

Does this sound like you? If so, we want to hear from you.

#LI-REMOTE

NPR is an Equal Opportunity Employer. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal – to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law.

If you are a person with a disability needing assistance with the application process, please reach out to employeerelations@npr.org.

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