Manager, Audience Insights
Santa Monica, CA, United States
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Full Time Mid-level / Intermediate USD 85K - 128K
Red Bull
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The Manager of Audience Insights, a digitally and technologically adept professional, will play a pivotal role in the success of the media network by providing actionable insights that shape programming strategies, optimize platform publishing, and deliver crucial audience and project analysis. This position is critical in transforming how the network generates in-depth insights to drive KPI growth and guide stakeholders on user engagement with content and consumption trends.
The role demands an individual proficient in defining and conveying high-level reporting, backed by a strong understanding of digital media measurement. Responsibilities include prioritizing tasks across project and content pitches, setting projections and goals aligned with KPIs, measuring media performance, and optimizing audience targeting. The Manager will utilize proprietary and syndicated analytic tools to deliver insights that support campaign development, content selection, media effectiveness assessments, and audience targeting.
Collaboration with cross-functional teams and the broader Red Bull Insights and Analytics community will be essential for delivering impactful insights and reports. These efforts will contribute to effective content optimization, campaign success, and the achievement of Red Bullās key performance indicators.
Job Description
MAJOR ACTIVITIES TO ENSURE ACHIEVEMENT OF KEY RESULTS AND DELIVERABLES
Delivering insights and providing recommendations to inform the appropriate network and key stakeholders.
Supporting the analysis of earned, managed, and owned media, including print and online publications.
Analyzing program and content performance across social and digital platforms, offering insights into industry trends and competitor activities.
Ensuring business needs are met through the use of dashboards, BI tools, and data implementation strategies.
Assisting in the creation of strategies to grow and develop Red Bullās global audience.
Utilizing data from various sources to shape digital and social media strategies, delivering thought leadership and contextual understanding based on competitor analysis and audience research.
Using tools such as Looker, Sprinklr, Tubular, Facebook, YouTube, and Google Analytics, alongside internal proprietary systems powered by AI and machine learning, to gain a comprehensive understanding of Red Bullās content and its global competition.
Communicating at the executive level with the ability to translate complex analyses into actionable business insights.
Leveraging industry expertise to serve as the subject matter expert for all data-driven programming strategies, enabling effective collaboration with direct reports and cross-functional teams.
Building and maintaining relationships with counterparts and stakeholders at Red Bull's global headquarters to ensure alignment between global and U.S. media network strategies and objectives.
KEY RESULTS AND DELIVERABLES (TARGETS)
Deliver insights to key stakeholders to guide the development and strategy of future projects during business plans (BP) and quarterly/monthly check-ins.
Provide actionable insights for each major project at all stages of its lifecycle, including development, project kickoff, and post-launch evaluation.
Incorporate the full suite of Enterprise Media Operations (EMO) insights into in-depth reporting on priority projects.
Introduce new analysis techniques and improve existing methodologies to better measure the business impact of media outputs, such as social conversations, sentiment analysis, word of mouth (WOM), primary content research, social contagion, and virality.
Develop and enhance statistical analytics approaches that generate commercial benefits for Red Bullās content strategy, such as forecasting content performance to set project targets and evaluate content value.
Qualifications
3+ years of media analytics experience related to digital media strategy, user behavior and engagement, or programming and has ideally worked in content
Possess extensive knowledge of metrics and performance across digital, broadcast, linear, data, and emerging platforms.
Demonstrate expert analytical skills with the ability to craft clear narratives and produce actionable insights through data analysis and visualization.
Have practical experience in implementing SQL, R, or Python workflows.
Experience in managing projects involving applied statistics, machine learning, and neural networks.
Exhibit a deep understanding of digital platforms (Facebook, Instagram, YouTube, etc.), content strategies, and performance measurement tools.
Proficient in working with BI tool dashboards such as Tableau, Looker, SAP Orca, and Google Data Studio.
Skilled in tools like Google Analytics, YouTube Analytics, Sprinklr, social business management tools, audience measurement, and social listening platforms.
Hold a bachelor's degree or possess equivalent professional experience.
Fluent in English, with additional language skills considered advantageous.
Additional Information
This position is open to U.S. citizens, U.S. permanent residents, or individuals who are currently authorized to work in the United States on a valid visa.
The base salary range for this position isĀ $85,360 ā $128,040 + cash incentives. Actual salary offers may vary based on work experience. The base pay range is subject to change and may be modified.
Our current Benefits include:
Comprehensive Medical, Dental and Vision Plans, 401k Match, Family Leave, PTO & Paid Holiday Schedule, Pet, Legal, and Life Insurance, Tuition Reimbursement (Benefits listed may vary depending on the nature of your employment and/or work location)
Red Bull Media House North America, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, age, or any other classification protected by Federal, state, or local law. We will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angelesā Fair Chance Initiative for Hiring Ordinance.
Tags: Classification Data analysis Data Studio KPIs Looker Machine Learning Python R Research SQL Statistics Tableau
Perks/benefits: 401(k) matching Career development Health care Insurance Medical leave Startup environment
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