Department of Culture and Tourism Abu Dhabi (DCT Abu Dhabi)
Supports the tracking, analysis, and reporting of marketing performance data across channels. Assists with tagging, A/B testing, and platform integration to generate insights that inform strategy, monitor and report on campaign performance, and strengthen data-driven decision-making for tourism marketing initiatives.
Key responsibilities
Marketing data systems and tracking implementation
- Assists in the implementation and maintenance of digital tracking solutions, including Google Tag Manager, to ensure accurate and consistent data collection across all platforms.
- Supports tagging, pixel creation, and UTM deployment for campaign monitoring and attribution tracking in alignment with media and web teams.
- Contributes to the integration of digital marketing platforms with data warehouses and lakes to centralize and automate data collection, ensuring reliability and scalability of insights.
- Aids in establishing standardized data governance practices and protocols for marketing performance measurement.
Performance analysis and campaign reporting
- Collects and analyzes marketing performance data from platforms such as Google Analytics 360, Google Display & Video 360, BigQuery, and Looker Studio to assess campaign effectiveness.
- Assists in conducting A/B and multivariate tests using platforms like Optimizely to support data-led optimizations and user experience enhancements.
- Generates routine and ad hoc reports to monitor and evaluate campaign outcomes, channel performance, and audience behavior across paid, owned, and earned media.
- Supports the team in translating insights into actionable recommendations to inform strategy and improve marketing decision-making.
AI development and implementation
- Design, develop, and implement AI models and algorithms to address key business challenges, improve analytical processes, and enhance decision-making capabilities.
- Collaborate with cross-functional teams including data scientists, software developers, and business stakeholders to understand requirements and translate them into scalable, AI-driven solutions that support marketing and research objectives.
- Monitoring and evaluating the performance of AI systems, adjusting as necessary to improve outcomes.
- Providing technical expertise and guidance on AI-related projects and initiatives.
Shared activities
- Maintains organized documentation and ensures timely availability of reports, dashboards, and tracking records for internal stakeholders.
- Keeps abreast of industry trends, digital tools, and analytics best practices to support the evolution of marketing measurement capabilities.
- Performs additional tasks and responsibilities as requested by the line manager, in accordance with departmental policies and procedures.
- Adheres to all internal processes and standards to ensure consistency, accuracy, and data integrity in the team s analytics efforts.
Communications and business relationships
Internal
- Planning, Strategy and Operations Department
Other relevant departments and divisions
External
- Relevant external institutions/companies
Relevant stakeholders/partners
Qualifications
Bachelor s degree in Marketing, Business Administration, Statistics, Data Science, Computer Science, or a related field
Experience
3 5 years of relevant experience in marketing analytics, digital performance analysis, or a similar data-driven role.
Skills
- Language: Fluency in written and spoken English
- Managing timelines, deliverables, and prioritizing tasks across multiple campaigns or requests.
- Critical for spotting data anomalies, validating campaign tracking, and ensuring accurate reporting.
- Works well with cross-functional teams including media agencies, IT, marketing, and creative teams.
- Analyze large datasets to extract meaningful insights and patterns that can inform AI model development.
- Able to explain technical insights to marketing managers, creatives, or leadership clearly and concisely.
- Proficiency in digital analytics tools such as Google Analytics 360, Google Display & Video 360, Google Tag Manager, and BigQuery.
- Familiarity with A/B and multivariate testing tools (e.g., Optimizely, Google Optimize) and interpreting experiment results.
- Working knowledge of Python, SQL and data manipulation in large datasets is an advantage.
- Experience integrating marketing data sources with centralized platforms or data lakes is preferred.
- Understanding of how to connect marketing platforms via API or tools like Supermetrics or Funnel.io.
- Strong analytical, critical thinking, and data visualization skills with the ability to communicate complex insights clearly.
- Familiarity with data privacy regulations (e.g., GDPR) and best practices in data governance.
- Knowledge of dashboarding tools such as Looker Studio, Tableau, Datorama, or Power BI is desirable.
- Previous experience in government, tourism, or destination marketing sectors is a plus
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Department of Culture and Tourism Abu Dhabi (DCT Abu Dhabi)