Senior Data Insights Analyst, Mobile App

Accountabilities Advanced SQL and raw data analysis: Write, optimize, and quality-check complex SQL queries in BigQuery, working with raw event logs, nested arrays, JSON structures, and other unaggregated datasets to conduct cohort, behavioral, and retention analyses across mobile and web platforms.

Experimentation leadership: Own the end-to-end experimentation lifecycle, including hypothesis development, A/B and multivariate test design, implementation, evaluation, and translation of results into actionable product recommendations.

Product insights and strategy: Deliver recurring performance reporting and in-depth mobile analytics to product managers, newsroom leaders, and station stakeholders, helping guide decisions that improve audience growth, engagement, listening habits, and revenue performance.

Technical mentorship and enablement: Share advanced SQL expertise, conduct code reviews, train colleagues, and develop self-service insight tools that enable cross-functional teams to use data effectively in their daily work.

Data infrastructure and quality control: Improve scheduled queries, data summaries, and automated pipelines while collaborating with data product teams to troubleshoot tracking anomalies and refine analytical tools.

Stakeholder collaboration and prioritization: Assess incoming analytical requests based on business impact, align deliverables with departmental strategy, and manage complex projects independently as priorities evolve.

Documentation and best practices: Establish data dictionaries, technical documentation, and consistent measurement standards for mobile app, video, and web metrics, while sharing research tools and insights to foster a transparent, data-driven culture.

Requirements

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.

Benefits

Salary: Annual salary range of $105,435.13–$116,380.66 , depending on location and applicable hiring considerations.

Work flexibility: Remote-permitted role, with options to work remotely from an approved U.S. location, on-site at an approved facility, or through a combination of remote and on-site work.

Healthcare coverage: Medical, dental, and vision plan options for eligible employees and dependents.

Insurance protection: Life insurance, accidental death and dismemberment coverage, and short- and long-term disability benefits.

Financial well-being: Access to voluntary retirement savings options.

Paid time off and wellness: Benefits include paid time off and access to health and wellness resources.

Eligibility: Regular, full-time employees scheduled to work at least 30 hours per week are eligible to enroll in the available benefits plans.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1