Yield Analyst

About Aditude:

We're really, really into ad ops tech (really). At Aditude we want to help our publishers maximize revenue and make their lives easier with smarter, faster, more innovative, more customized technology. In 2023, we raised 15 million in Series A funding led by Volition Capital allowing us to add to our team and further our mission of helping publishers do what they do better. With over 1600 sites and apps using our tech, we currently have over 1 trillion ads served to date, and over 1 billion ad impressions daily. With the recent acquisition of Hashtag Labs, we only expect this number to continue to grow exponentially. We are looking for team members who are obsessed with supporting our publishers, who default to action, and who enjoy solving complex problems. If that sounds like you, we are excited to connect!

The Opportunity:

We are looking for a data-driven and analytical Yield Analyst to join our growing team. This position is ideal for candidates with a strong foundation in Economics, Mathematics, or a related quantitative field who are eager to break into the world of digital media and ad monetization. As a Yield Analyst, you’ll play a critical role in analyzing ad performance data, optimizing inventory yield, and supporting revenue growth strategies across our digital properties.

Some Challenges you’ll tackle:

• Monitor and analyze ad revenue trends, fill rates, CPMs, and other key monetization metrics.
• Assist in daily, weekly, and monthly reporting for internal stakeholders.
• Support the yield and ad operations teams in identifying revenue optimization opportunities across direct and programmatic channels.
• Collaborate with cross-functional teams including Ad Operations, Sales, and Product to ensure ad inventory is efficiently utilized.
• Conduct basic forecasting and scenario analysis using historical data and market trends.
• Document insights and contribute to testing frameworks to improve yield strategies.

The Skillset:

• Bachelor’s degree in Economics, Mathematics, Statistics, or a related quantitative field.
• Strong analytical and problem-solving skills; comfortable working with large data sets.
• Proficiency in Excel (pivot tables, vlookups, basic formulas); familiarity with SQL or Python is a plus.
• Detail-oriented, organized, and comfortable juggling multiple tasks in a fast-paced environment.
• Excellent communication skills with the ability to present data clearly and effectively.

Nice to Have

• Familiarity with how digital advertising works (e.g., ad servers, programmatic advertising, header bidding).
• Experience working with advertising platforms such as Google Ad Manager, SSPs, or analytics tools.
• Exposure to data visualization tools like Looker, Tableau, or Power BI.

Feeling uneasy that you haven’t ticked every box? That’s okay, we’ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day.

Why join Aditude:

• Salary: In this role, you’ll receive a starting base salary of $55,000 to $65,000 in addition to bonus potential.
• 100% remote with a global footprint
• Medical, Dental, and Vision Insurance
• Unlimited Time Off + 11 Holidays + Christmas week to recharge
• Summer Fridays - Works days end at noon
• Opportunity to join a fast growing technology company!

Aditude is an equal opportunity employer. We celebrate diverse backgrounds and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. We do not discriminate against any protected class and strive to create environments where everyone can thrive. We embrace our differences and know that we are stronger working together.

If you need assistance or an accommodation due to a disability, please email careers@aditude.io. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.