Senior Insights Analyst, Mobile Analytics

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

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
• Able 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.