Insights Analyst, Implementation & QA
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概述 NPR 是一家蓬勃发展、以使命为驱动的多媒体组织,与全国数百家独立公共广播电台合作,制作屡获殊荣的新闻、信息和音乐节目。NPR 的受众重视信息、创造力、好奇心和社会责任——我们的员工也是如此。我们是新闻业和数字媒体到 IT 和开发等多元领域的创新者和领导者。每天,我们的员工和成员电台触动着全球数百万人的生活。在整个组织中,我们正在打……
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职位描述 · 原文
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 5:00 pm EST on October 23rd, 2026 Intro to Position You will be critical to building a new, leaner, audience-centric, data-driven app that serves NPR and partnering stations in multi-modal formats. As the Insights Analyst, you will support data-informed decision-making for NPR’s digital ecosystem. Central to this role is hands-on SQL expertise—writing complex queries against massive, unaggregated datasets, translating raw digital behavior into actionable product insights. In this role, you will be the main point of contact to create measurement plans, implement and QC analytics tags, build automated dashboards, and perform deep-dive analyses across app, web, and video platforms. Working closely with digital product teams, the newsroom, and member station leaders, you will apply a blend of data curiosity and technical pragmatism to expand weekly audiences, increase listening hours, and deepen daily habits. This role reports to the Audience Insights Director, Digital Insights. This is a union-represented role covered under the terms of a collective bargaining agreement with NABET-CWA DMU . Responsibilities Advanced SQL Analysis Querying: Independently write, optimize, and streamline complex SQL queries across app, video, and web datasets; regularly handle raw event data, including unnesting nested arrays and struct fields (e.g., BigQuery GA4 export). Tagging Implementation QC: Develop and manage measurement plans for NPR's owned and operated platforms using Google Tag Manager; conduct quality control (QC) and validation of tracking tags across releases. Data Infrastructure Automation: Maintain and optimize scheduled queries, data summaries, and automated reporting pipelines to support sustainable backend data hygiene. Stakeholder Consultation Dashboards: Partner closely with Product and Data Products teams to design, build, and maintain interactive dashboards (e.g., Looker) and establish self-service analytics frameworks for internal stakeholders. Product Optimization Insights: Support product analytics needs for the NPR App, website, and video platforms, extracting actionable user habit and audience retention insights. Data Quality Troubleshooting: Diagnose, investigate, and resolve data discrepancies, tracking errors, or underlying schema issues across reporting tools. Documentation Best Practices: Write clear technical guides, tagging specifications, and documentation for app, video, and website analytics standards. Cross-Functional Collaboration: Partner with product managers, editorial teams, and technical groups to translate business questions into technical measurement plans and data infrastructure updates. 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. Minimum Qualifications 2+ years of hands-on SQL experience: Demonstrated proficiency writing complex queries from scratch, working with relational databases and enterp
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