Summary
webook.com is an event ticketing and experiences platform expanding globally. The Advertising Data & Insights Manager will lead data-driven decision-making for the Advertising & Brand Partnerships function. Responsibilities include analyzing ad server, app and web analytics, and campaign data; building dashboards; responding to advertiser and partner data requests; and reporting on metrics such as viewability, completion rates, and revenue. The role requires 4–6 years of relevant experience, proficiency with spreadsheets and BI tools, and experience with advertising data.
The posting
As published on webook.com. Pulled from the employer's site and shown as they wrote it.
Do you want to love what you do at work? Make a real impact? Help shape experiences that transform how people connect, celebrate, and engage with events?
Are you excited to work with a team that challenges the status quo, breaks away from the ordinary, and builds what's next?
If yes, you're in the right place.
webook.com is one of the leading event ticketing and experience platforms, known for its innovation, agility, and ability to scale. We've powered some of the largest events in the region, with over 2 billion SAR in ticket sales and now we're expanding globally.
Overview
We are seeking an Advertising Data & Insights Manager to lead data-driven decision-making within webook.com’s Advertising & Brand Partnerships function.
This role will be responsible for transforming advertising performance data into clear insights, actionable recommendations, and compelling reporting that supports both internal strategy and advertiser confidence.
Key Responsibilities
- Extract, analyze, and interpret data from
- Ad servers
- App & web analytics
- Campaign performance reports
- Build and maintain dashboards and reporting frameworks
- Handle advertiser and partner data requests with speed and accuracy
- Track and analyze key metrics including:
- Viewability
- Completion rates
- Revenue by format, market, and partner
- Provide insights that support:
- Campaign optimization
- Revenue growth
- Strategic decision making
- Translate complex data into clear, business-friendly insights
Requirements
- 4–6 years of experience in data analytics, digital advertising analytics, or business intelligence
- Strong proficiency in tools such as:
- Excel / Google Sheets
- SQL (preferred)
- BI tools (e.g., Tableau, Power BI, Looker)
- Experience working with advertising data (GAM, programmatic, or similar)
- Strong analytical mindset with attention to detail
- Ability to communicate insights clearly to non-technical stakeholders