Collaborate with other members of the Audience Insights team to support and disseminate learnings from deep analysis for NPR’s text, audio, and visual content performance across digital platforms
Keep a pulse on and bring industry knowledge to contextualize insights and identify emerging trends
Lead analysis and insights for the newsroom to uncover trends and best practices in key areas that influence NPR and Member station content and distribution strategy
Build strong working relationships with editorial colleagues to collaboratively define analytics priorities and communicate actionable content and distribution insights
Train reporters, producers, and editors on how to incorporate data and analytics from centralized reporting dashboards in their daily decision-making
Deliver daily analytics briefings to inform editorial priorities for written, audio, and visual content
Help NPR further deepen the relationships with its audiences based on understanding what is engaging with readers and listeners
Collaborate with the Managing Editor in the newsroom to align goals and priorities across Audience Insights and the newsroom

Requirements

2+ years working within a fast-paced newsroom environment, partnering with editorial teams to apply data to drive content strategy, production, planning, and distribution
Demonstrated understanding of editorial workflows and proven experience earning credibility within newsrooms
2+ years of professional experience (not including internship) generating insights from analytics data across digital platforms such as digital text, social, newsletters, videos, and audio using the following tools:
Web and app analytics tools like Google Analytics, Adobe Analytics, Firebase, or similar
Search Engine Optimization tools like Google Search Console, SEMRush, or similar
Social Analytics tools like Meta Business Analytics, CrowdTangle, Sprout, or similar
Real-time web analytics tools like Chartbeat, Parse.ly, or similar
Advanced Excel/Google Sheets proficiency, including pivot tables, complex formulas, data manipulation, and visualization for ad-hoc analysis and reporting
Demonstrated experience and comfort working with large datasets
Applied knowledge of SEO, 3rd party platform algorithms, and other external impacts on news content distribution strategies
Excellent oral, written, and visual communication skills, particularly for explaining complex quantitative information to non-technical audiences
Experience training non-technical audiences on using analytics tools and dashboards to incorporate data into their daily decision-making processes — making analytics actionable
Self-starter with the ability to work independently as well as in a collaborative team environment

Benefits

access to health and wellness
paid time off
financial well-being services
medical insurance
dental insurance
vision insurance
life/ accidental death and dismemberment insurance
long-term disability insurance
short-term disability insurance
voluntary retirement savings options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data analysisanalyticsSEOdata visualizationdata manipulationreportingcontent strategyeditorial workflowslarge datasetscomplex formulas

Soft skills

collaborationcommunicationtrainingcredibilityself-starterindependenceteamworkactionable insightsrelationship buildingadaptability