Senior Yield Analyst, Programmatic (LA Times Studios)

Senior Yield Analyst, Programmatic (LA Times Studios)

The Los Angeles Times, 2300 E. Imperial Hwy, El Segundo, California, United States of America Req #62

Monday, October 14, 2024

The L.A. Times Studios LLC vision is to be the premier studio for groundbreaking and impactful storytelling, setting high standards for excellence in content creation and production.

We push the boundaries of traditional media, exploring new formats and platforms to reach diverse and global audiences. By championing innovative ideas and diverse voices, we aspire to create a more connected world through storytelling and events supported by robust revenue streams from advertising sales, branded content, event production, products and business development.

Join a team of creative, collaborative and innovative professionals, apply today using the link below.

The Senior Yield Analyst is responsible for developing and executing advanced revenue strategies for the company's programmatic media efforts.

This role involves managing all inventory types (display, video, native, app, etc.) and sales channels (open exchange, private marketplaces, programmatic direct), with a focus on optimizing revenue across diverse platforms.

The Senior Yield Analyst will utilize extensive data analysis, leadership skills, and collaboration with cross-functional teams to maximize revenue yield and drive long-term growth.

Responsibilities :

• Lead the development and execution of sophisticated, data-driven strategies to optimize programmatic advertising revenue across all ad formats and sales channels.
• Analyze complex market-level auction data to identify trends and actionable insights that will inform the overall yield management strategy.
• Act as a primary liaison with internal teams and external partners to implement advanced yield management tactics that enhance revenue performance.
• Proactively anticipate industry shifts and trends, adapting strategies swiftly to capitalize on emerging opportunities for revenue growth and to safeguard against potential negative impacts.
• Oversee daily programmatic monetization KPIs and ensure rapid identification and resolution of issues within the ad stack that could impact revenue.
• Ensure the accuracy, reliability, and effectiveness of reporting platforms (such as Adomik) by generating detailed reports on programmatic activity, revenue performance, and partner discrepancies.
• Design, and implement experiments to analyze performance data, utilizing insights to guide strategic initiatives.
• Collaborate across departments to uncover and implement innovative revenue opportunities aligned with the company's business goals.
• Mentor team members and provide strategic guidance on programmatic yield initiatives and best practices.

Requirements :

BA / BS in a related field (economics, business, marketing, math) or 6+ years of relevant experience in financial

analysis, business strategy, marketing analytics, or a similar field.

• 6+ years of experience in digital advertising, with a significant focus on programmatic yield management.
• Proven expertise in programmatic ad-serving systems such as Google Ad Manager, Prebid / TAM / Open Bidding,

and leading SSPs / DSPs.

Deep understanding of programmatic buying models, supply paths, and advanced techniques for optimizing

monetization partners through A / B testing and data-driven strategies.

Strong proficiency in data modeling, with the ability to manage and analyze large datasets in Excel, Google

Sheets, and other visualization tools.

Excellent written and verbal communication skills, with the ability to convey complex technical information to both

expert and non-expert audiences.

Strong organizational, project management, and leadership skills, with the ability to oversee multiple high-stakes

projects under tight deadlines with minimal supervision.

Self-motivated with exceptional analytical, problem-solving, and decision-making skills.

Preferred Qualifications :

• Previous experience in yield management at a publisher or SSP.
• Familiarity with Permutive and experience leveraging first-party data to optimize advertising revenue.
• Experience with SQL and scripting languages such as R or Python for advanced data analysis.

The L.A. Times Studios, LLC is an equal opportunity employer and welcomes all qualified applicants regardless of race, ethnicity, religion, gender, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law.

We actively work to create an inclusive environment where all of our employees can thrive. This Privacy Notice for L.A. Times Studios, LLC sets forth how we will use the information we obtain when you apply for a position through this career site.

The pay scale the Company reasonably expects to pay for this position at the time of the posting is $94,000 to $102,500 and takes into account a wide range of factors including but not limited to skill set, experience, training, licenses, certifications, and other business or organizational needs.

Compensation will be determined based on the above factors along with the requirements of the position. At the L.A. Times Studios, LLC, it is not typical for an individual to be hired at or near the top of the range for the role.

We recommend adding our applicant tracking system domain (@dayforce.com) as a safe sender or contact, sometimes these emails get filtered to candidates' spam folders.

The Company is a mandatory vaccination employer for COVID-19 and its variants. The Company requires that its employees be fully vaccinated as of their start date.

If you require a medical or religious accommodation, we will engage in the interactive process with you. Proof of vaccination will be required prior to start.

If we make you an offer and you are not yet vaccinated, we will accommodate a delay in start date.

Other details

• Job Family L.A. Times Studios, LLC
• Job Function Individual Contributor
• Pay Type Salary
• Min Hiring Rate $94,000.00
• Max Hiring Rate $102,500.00

Apply Now

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This role involves managing all inventory types (display, video, native, app, etc.) and sales channels (open exchange, private marketplaces, programmatic direct), with a focus on optimizing revenue across diverse platforms.

The Senior Yield Analyst will utilize extensive data analysis, leadership skills, and collaboration with cross-functional teams to maximize revenue yield and drive long-term growth.

nResponsibilities : n nLead the development and execution of sophisticated, data-driven strategies to optimize programmatic advertising revenue across all ad formats and sales channels.

nAnalyze complex market-level auction data to identify trends and actionable insights that will inform the overall yield management strategy.

nAct as a primary liaison with internal teams and external partners to implement advanced yield management tactics that enhance revenue performance.

nProactively anticipate industry shifts and trends, adapting strategies swiftly to capitalize on emerging opportunities for revenue growth and to safeguard against potential negative impacts.

nOversee daily programmatic monetization KPIs and ensure rapid identification and resolution of issues within the ad stack that could impact revenue.

nEnsure the accuracy, reliability, and effectiveness of reporting platforms (such as Adomik) by generating detailed reports on programmatic activity, revenue performance, and partner discrepancies.

nDesign, and implement experiments to analyze performance data, utilizing insights to guide strategic initiatives. nCollaborate across departments to uncover and implement innovative revenue opportunities aligned with the company's business goals.

nMentor team members and provide strategic guidance on programmatic yield initiatives and best practices. n nRequirements : n nBA / BS in a related field (economics, business, marketing, math) or 6+ years of relevant experience in financialanalysis, business strategy, marketing analytics, or a similar field.

n6+ years of experience in digital advertising, with a significant focus on programmatic yield management. nProven expertise in programmatic ad-serving systems such as Google Ad Manager, Prebid / TAM / Open Bidding,and leading SSPs / DSPs.

nDeep understanding of programmatic buying models, supply paths, and advanced techniques for optimizingmonetization partners through A / B testing and data-driven strategies.

nStrong proficiency in data modeling, with the ability to manage and analyze large datasets in Excel, GoogleSheets, and other visualization tools.

nExcellent written and verbal communication skills, with the ability to convey complex technical information to bothexpert and non-expert audiences.

nStrong organizational, project management, and leadership skills, with the ability to oversee multiple high-stakesprojects under tight deadlines with minimal supervision.

nSelf-motivated with exceptional analytical, problem-solving, and decision-making skills. n nPreferred Qualifications : n nPrevious experience in yield management at a publisher or SSP.

nFamiliarity with Permutive and experience leveraging first-party data to optimize advertising revenue. nExperience with SQL and scripting languages such as R or Python for advanced data analysis.

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The Los Angeles Times, 2300 E. Imperial Hwy, El Segundo, California, United States of America

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