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Salary
≈ $30k – $70k per year (Estimated)
Location
Remote (Saudi Arabia)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Jan 14, 2026. Webook scores A on the Alion truth index.

Overview
Company
Impact
Profile match
webook is a Saudi event ticketing and experience booking platform based in Riyadh that sells tickets for concerts, sports, festivals and attractions and serves event organisers and venue operators. It has handled ticketing for some of the largest mega events in the kingdom, reports cumulative sales of more than 2 billion, and is expanding abroad with teams in Jordan, Morocco and Portugal. It hires software, DevOps and AI automation engineers, prompt engineers, sales and partnership staff, contact center agents and leads, HR and office managers, legal analysts and Tamheer interns in Saudi Arabia.

Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?

If yes, then this is the job you're looking for ,webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.

Role Overview:

The Senior Marketing Intelligence Officer will lead our marketing data strategy by designing dashboards, producing insights, and enabling data-driven decisions. You’ll work cross-functionally with Performance, CRM, BI, and Regional Marketing teams to connect marketing activities to measurable business impact.

Key Responsibilities:

  • Build, manage, and continuously improve real-time dashboards that track all core marketing KPIs across markets.
  • Develop automated reporting frameworks to streamline performance updates for leadership, regional, and cross-functional teams.
  • Forecast user growth, revenue impact, and campaign performance using historical trends and predictive models.
  • Conduct brand health tracking, including awareness, consideration, NPS, and perception metrics across multiple regions.
  • Lead primary research initiatives such as consumer surveys, focus groups, and sentiment analysis to inform strategic decisions.
  • Compile secondary research and market intelligence from credible external sources to support positioning and expansion efforts.
  • Collaborate with regional marketing leads to analyze country-specific campaign outcomes and localize optimization strategies.
  • Design and own the marketing measurement framework that ties media investment to business outcomes.
  • Work closely with CRM and Lifecycle Marketing to track funnel conversion rates, churn, reactivation, and LTV by cohort.
  • Support performance marketing with audience segmentation, behavioral analytics, and channel attribution insights.
  • Monitor competitor campaigns, pricing strategies, share-of-voice, and digital presence through benchmark reports.
  • Serve as the marketing team’s point of contact with BI, Finance, and Product teams for unified data interpretation.
  • Develop periodic business reviews, board-level summaries, and executive insights reports on marketing impact.
  • Introduce statistical methodologies (e.g. regression, cluster analysis, factor analysis) to deepen analytical methodology.
  • Provide internal training and documentation to scale data literacy and insight-driven thinking across the marketing department.

Requirements

  • 5-7 years of experience in marketing analytics, business intelligence, or data science roles.
  • Strong experience building dashboards using tools such as Looker Studio, Tableau, Power BI, or similar.
  • Solid understanding of marketing KPIs and their connection to business outcomes.
  • Proficiency in SQL, Excel, and at least one statistical tool (e.g., Python, R, SPSS).
  • Familiarity with marketing platforms (Google Ads, Meta, CRM tools) and their data structures.
  • Proven track record in applying forecasting and predictive modeling techniques.
  • Experience with primary and secondary research, including brand tracking and consumer insights.
  • Exceptional storytelling and communication skills, including executive reporting.
  • Ability to work cross-functionally with marketing, BI, product, and finance teams.
  • Fluent in English; Arabic is a plus.
  • Bachelor’s or Master’s degree in Marketing Analytics, Statistics, Data Science, or a related field.
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