Senior Data Insights Analyst, Mobile App

Join a mission-driven multimedia environment where data and audience insights help shape the future of digital news, information, and audio experiences. In this senior analytical role, you will drive mobile product strategy through advanced SQL, audience behavior analysis, and rigorous experimentation. You will work with complex, raw event-level datasets to uncover meaningful patterns, improve engagement, and strengthen audience retention. Partnering with product leaders, newsroom teams, and technical stakeholders, you will turn sophisticated analysis into clear, actionable recommendations. You will also elevate analytical practices across the organization through mentorship, documentation, and self-service tools. This remote-permitted opportunity offers the chance to influence digital product decisions while supporting a broader mission to inform and engage audiences nationwide.

• At least 5 years of advanced SQL experience, including writing complex queries from scratch, analyzing raw and unaggregated event data, and working with data warehousing tools such as BigQuery and Dataform.

• Strong expertise in extracting, transforming, and manipulating complex data structures, including unnesting arrays, parsing JSON and structured fields, and building scalable datasets for audience cohorting and behavioral analysis.

• At least 5 years of hands-on mobile and web analytics experience, working with digital behavioral datasets and tools such as Google Firebase and Google Analytics 4 (GA4).

• At least 2 years of experimentation experience, including designing, executing, and evaluating A/B or multivariate tests using Optimizely or comparable enterprise experimentation platforms.

• Advanced data visualization and reporting skills, including the ability to translate complex SQL outputs into clear, compelling insights using tools such as Looker, Tableau, Excel, and Google Sheets.

• Demonstrated ability to communicate analytical findings to technical and non-technical audiences, connect quantitative results to strategic objectives, and provide actionable recommendations.

• Experience mentoring colleagues, training stakeholders on data tools, establishing self-service analytical frameworks, and promoting SQL quality, documentation, and data hygiene standards.

• Strong analytical judgment, statistical reasoning, project ownership, and prioritization skills, with the ability to manage changing demands and collaborate across multiple teams.

• Preferred qualifications: Experience in digital news, public broadcasting, or media streaming; proficiency in statistical modeling with Python or R; and a track record of building cross-functional partnerships to solve complex analytical challenges.

• Must be able to work remotely from an approved location within the United States, work on-site at an approved facility, or follow a hybrid arrangement. Occasional travel may be required. This is a full-time, exempt position represented by a union and covered by a collective bargaining agreement.