Sinclair
is hiring
Data Analyst, Monetization
About Our Company
Sinclair Inc. (Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports. The Company owns, operates and/or
provides services to 185 television stations in 86 markets affiliated with all the major broadcast networks; owns Tennis Channel and multicast networks Comet, CHARGE! and TBD; and owns and provides services to 21 regional sports network brands. Sinclair’s content is delivered via multiple platforms, including over-the-air, multi-channel video program distributors, and the nation’s largest streaming aggregator of local news content, NewsON. The Company regularly uses its website as a key source of Company information which can be accessed at www.sbgi.net.
Throughout our history, Sinclair Broadcast Group has been at the forefront of industry-changing events and technological advances. Our vision and first-to-market mentality drives our ‘next generation’ thinking; stimulating conversations, innovating through our expertise, and advocating for the development of technology and evolving business models.
As a leading over-the-air broadcast television company, our primary business is to engage consumers on multiple platforms with relevant and compelling news, entertainment and sports content, and to provide advertisers and business efficient means and value to connect with our mass audiences. We recognize the vital role broadcast television plays in branding and local content delivery, and therefore strive to constantly be at the forefront of leading edge technology and structures to advance the industry.
Job Description & Responsibilities
Sinclair is seeking a talented Monetization Data Analyst to join our Product Engineering group. As a Monetization Data Analyst, you will play a key role in the development and execution of monetization strategies, leveraging data-driven insights across various platforms such as GAM (Google Ad Manager), GA4 (Google Analytics 4), GA360 (Google Analytics 360), various Programmatic UI, and other revenue platforms.
Location: Washington DC, New York, Seattle, Remote
Responsibilities:
- Conduct in-depth monetization analysis across multiple platforms, identifying opportunities for revenue, revenue shortfalls, revenue risks, optimization, and cost-efficiency improvements
- Collaborate with cross-functional teams, including Product Managers, AdTech, Engineers, and Sales, to define and implement monetization strategies using data driven methods
- Utilize data from GAM, GA4, GA360, Programmatic UI, and other revenue platforms to develop actionable insights and recommendations, through throughout reporting, visualizations, annotations, etc.
- Analyze user behavior, ad performance, and revenue trends to provide valuable insights for decision-making
- Create and maintain dashboards and reports to track key performance indicators (KPIs) related to monetization efforts
- Perform A/B testing and provide data-driven recommendations to improve ad placements, pricing models, and audience targeting
- Monitor revenue performance, identify anomalies, and proactively address issues to ensure optimal revenue generation
- Stay up to date with industry trends and best practices in AdTech and monetization analytics
Requirements
Qualifications:
- Bachelor’s degree in data science, Computer Science, Statistics, Economics, or a related field
- Proven experience (2-3 years) working as a Data Analyst, preferably in the AdTech or digital advertising industry
- Strong proficiency in utilizing DFP/GAM, GA4/GA360, Programmatic UI, and other ad revenue platforms for data analysis
- SalesForce UI proficiency is a plus
- JIRA proficiency is a plus
- 1st Party and 3rd party data familiarity
- Proficiency in data manipulation, visualization, and analysis using SQL, Python, R, or similar tools
- Familiarity with statistical modeling and predictive analytics to derive actionable insights
- Experience in designing and interpreting A/B tests for ad performance optimization
- Excellent communication and collaboration skills to work effectively with cross-functional teams
- Strong problem-solving abilities and a keen eye for detail
- Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously
What we offer
The base salary compensation range for this role is $85,000 to $90,000. Final compensation for this role will be determined by various factors such as a candidate’s relevant work experience, skills, certifications, and geographic location. Full time positions are eligible for benefits that include participation in a retirement plan, quarterly and annual incentive plan bonuses, life and disability insurance, health, dental and vision plans, flexible spending accounts, 15 paid vacation days, 2 paid personal days, 9 paid holidays, 40 hours of paid sick leave, parental leave, and employee stock purchase plan.
