Data Analyst

دائرة الثقافة والسياحة – أبوظبي; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading tourism authority in Abu Dhabi is seeking a Marketing Data Analyst to enhance data-driven decision-making in tourism marketing. The role involves tracking and analyzing marketing performance, implementing digital tracking solutions, and developing AI tools for informed strategies. Candidates must hold a relevant degree and have proficiency in key analytics tools.

Qualifications

• Bachelor's degree in relevant field required.
• Fluency in English is essential.
• Strong experience with digital marketing analytics tools needed.

Responsibilities

• Implement digital tracking and support data governance.
• Analyze marketing performance data for campaigns.
• Develop AI models and monitor their effectiveness.

Skills

Fluency in written and spoken English

Managing timelines and deliverables across multiple campaigns

Data anomaly spotting and validation

Working well with cross-functional teams

Analyzing large datasets for insights

Proficiency in digital analytics tools

Managing web tagging and pixel tracking

Familiarity with A/B and multivariate testing

Working knowledge of Python and SQL

Understanding data privacy regulations

Education

Bachelor’s degree in Marketing, Business Administration, Statistics, Data Science, or Computer Science

Tools

Google Analytics 360

Google Tag Manager

BigQuery

Looker Studio

Optimizely

Tableau

Job description

Role Purpose

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.

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

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.
• Proficiency in digital analytics tools such as Google Analytics 360, Google Display & Video 360, Google Tag Manager, and BigQuery.
• Proven experience in managing web tagging and pixel tracking across multi-channel campaigns, with the ability to validate data accuracy and troubleshoot implementation issues using tools such as Google Tag Assistant and browser developer tools.
• 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.
• 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.