Data Analyst

About the Role

As a Data Analyst at Monks, you will work on designing, implementing, and maintaining robust data foundations that enable our clients to better understand marketing and product performance. You will help ensure that tracking, measurement, and analytics setups are accurate, scalable, and reliable, using tools such as Google Tag Manager, Google Analytics 4, Amplitude, Adobe Customer Journey Analytics, Adobe Launch, Piano Analytics, Firebase, and GCP. You will also be at the forefront of AI-driven innovation, helping to develop AI-powered automations and workflows that make data more accessible, actionable, and ready to support advanced analytics and machine learning initiatives.

You should have a strong foundation in data literacy and the ability to translate technical requirements into practical business insights. Ideally, you have experience working with marketing, product, or digital analytics data, along with a solid understanding of data collection, tagging, measurement frameworks, data quality, and cloud technologies. While the role mainly focuses on analytics and data foundations, it also offers opportunities to contribute to AI automation, data engineering, and machine learning enablement projects.

This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Solutions Engineering teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what’s possible, we encourage you to apply!

Responsibilities:

• Translate business requirements into technical requirements (measurement plans) and follow through with project execution
• Implement Analytics and/or Marketing tags through any given tag management tool (Google Tag Manager)
• Collaborate across client’s global teams on the execution of analytics projects
• Ensure accountability across project teams delivering quality and timeliness and work to exceed baseline-level content and deadlines across defined scopes of work as well as new opportunities
• Support the Monks Data Team to improve service delivery capabilities and identify project growth opportunities
• Eager to develop and build AI automations in the analytics space
• Write simple SQL queries in cloud platforms to extract insights from large datasets
• Communicate basic technical concepts and results to both technical and non-technical stakeholders, including clients.

About You

The essentials:

• Bachelor's or Master's in a quantitative subject such as Computer Science or a related field.
• 1+ years of working experience in data analytics or a related field.
• A good understanding of Google BigQuery is beneficial.
• Fluent English communication and written skills.
• Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
• Strong data analysis abilities (knowledge of Python/JavaScript very beneficial)
• Strong analytical and consulting skills, rooted in the ability to draw and communicate insights from multiple data points
• Excellent consultative approach to developing and managing business relationships
• Ambition to perform unprecedented tasks and obtain new skills, be comfortable with uncertainty and adapt to a rapidly changing environment
• Ability and desire to scale knowledge and learning to other junior (and at times senior) team members

Not a must, but a plus:

• Bachelor's or Master's Degree in Computer Science.
• Previous agency or consultancy experience is a plus.
• GA4 Certification.
• Experience with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
• Familiarity with social data and AI tools (e.g. Instagram, Facebook, TikTok, ChatGPT, Claude, Gemini, etc).
• Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
• Experience with Data Studio or any visualisation tool

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants from all backgrounds who are excited to contribute to our mission.

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