Programmatic Revenue Analyst

To be a successful Programmatic Revenue Analyst at Samba TV, you should have a solid foundation in programmatic advertising and data analysis, ideally with over 5 years of experience in these areas. Proficiency in tools like Datorama, Tableau, and Salesforce will be crucial for managing and analyzing data effectively. Having advanced skills in Excel and Google Sheets, along with knowledge of SQL, Python, or R, will also set you apart. Strong problem-solving abilities and meticulous attention to detail are necessary to navigate complex data relationships.

The Programmatic Revenue Analyst role at Samba TV involves owning the end-to-end monthly revenue reconciliation process across our programmatic offerings. You will be responsible for ingesting, cleaning, and normalizing utilization reports from multiple activation platforms. Additionally, you will analyze platform performance metrics, drive cross-functional alignment, and proactively resolve revenue discrepancies, ensuring data integrity and timely revenue recognition. You will also create comprehensive dashboards to provide visibility into revenue streams.

At Samba TV, Programmatic Revenue Analysts are expected to work in the office three days a week, specifically from Tuesday to Thursday. This arrangement is aimed at fostering collaboration and teamwork within the office environment while allowing flexibility in remote work on other days. Average hours are standard, but some flexibility may depend on project demands.

Yes, to qualify for the Programmatic Revenue Analyst position at Samba TV, candidates should possess a degree in Business Analytics, Data Science, Computer Science, or a related field. This educational foundation is essential for understanding the complex metrics and data analysis required for the role, along with delivering actionable business insights.

Samba TV provides significant growth opportunities for its Programmatic Revenue Analysts. You will have the chance to develop new tools and technologies to optimize processes, lead automation initiatives, and have direct influence on revenue operations strategies. Additionally, you'll collaborate with executive teams, which can lead to advancement into higher management roles, depending on performance and organizational needs.

The base salary range for a Programmatic Revenue Analyst at Samba TV is typically between $80,000 and $100,000 per year. However, the actual salary offered may vary based on factors such as location, individual experience, and performance. This base salary is part of a broader compensation package, which may include additional incentives, bonuses, and various employee benefits.

Samba TV offers a comprehensive benefits package to Programmatic Revenue Analysts, including health insurance, wellness programs, life and disability insurance, a retirement savings plan, and paid time off (PTO). Additionally, employees enjoy paid holidays and other incentives that contribute to a positive work-life balance and supportive work environment.

When answering this question, highlight specific experiences where you managed revenue reconciliation processes. Discuss tools you've used, such as Datorama or Salesforce, and how you ensured data accuracy and integrity. Be specific about challenges you faced and how you resolved discrepancies.

You should explain your approach to analyzing key metrics like impressions, CPMs, and revenue shares. Discuss the importance of utilizing data visualization tools for simplifying complex statistics and how you turn those insights into actions that drive revenue growth.

Highlight methods you have implemented to maintain data accuracy. Discuss your meticulous approach to data cleaning, your experience with cross-referencing data across platforms, and how you have collaborated with IT or development teams to resolve data integrity issues.

Choose a specific and relevant example from your experience, illustrating the complexity of the problem and the steps you took to resolve it. Emphasize your analytical thinking, problem-solving skills, and the positive outcomes that followed your actions.

List the main tools you've used in your previous roles, such as Excel, SQL, Tableau, or Datorama. Discuss your level of proficiency and specific projects or tasks where you leveraged these tools efficiently to gather insights or automate processes.

Discuss your approach to facilitating communication between cross-functional teams. You can share specific examples where your role as a liaison improved collaboration, enhanced reporting accuracy, and streamlined invoicing processes based on effective communication channels.

Explain TAC's significance in the realm of programmatic advertising. Discuss methods you've utilized for analyzing TAC data and how you recommended optimizations to improve overall profit margins and increase the efficiency of ad spending.

Describe your analytical process for identifying discrepancies, discussing the importance of tracing errors back to original datasets. Dive into specific instances where you had to investigate, collaborate with teams, and implement new checks to mitigate these issues going forward.

Outline the step-by-step process you follow when mapping data, ensuring to cover key elements like data cleansing, normalizing entries, and linking usage reports with Salesforce opportunities. Discuss challenges you may have faced and solutions you crafted.

Talk about your experience with process automation and innovative recommendations you've made to enhance efficiency within workspace settings. Share how your proactive approach could significantly streamline operations at Samba TV.