Job Description:

Job Title: Data Analytics and Strategy Manager, Carat

Work Location: Dubai, UAE

Job Level: Manager

Job Type: Full-time (Hybrid)

About Dentsu International:

Dentsu is one of the largest marketing and advertising groups, providing a full suite of creative, data, technology and media services to its global clients in 145 countries.

We empower the world’s leading brands to create better creative and customer experiences with a focus on digital and creative transformation. We are champions for innovative marketing success across a diverse portfolio of fortune 100 companies, leading organisations and clients across key iconic brands advertising globally to maximise the value of our customer portfolios to drive hyper-personalised marketing and creative strategies

Our combined strengths in creative excellence, customer digital transformation, media and enterprise marketing technology drives our competitive advantage. This includes a wide range of services to clients across media, advertising creative, PR, television format production, sports stadium adverting, talent and influencer engagement, app and website development, game development, programmatic advertising, IT consultancy, and data products, analytics and insight.

You can learn more about us here: https://www.dentsu.com/ae/en

Your role:

Data and Analytics Strategy Manager is the lead to the agency's data strategy and analytics initiatives. The core responsibility is to develop and implement data-driven strategies to drive business growth and improve decision-making processes across the organization.  

Key responsibilities:

• Build strong relations and collaborate with operational, product, business, performance, data science, data visualization leads.

• Build analysis and correlation derived from different data sources (i.e. research, sales, analytics, media metrics, etc.).

• Produce insights, derive analysis, and produce point of view on data output.

• Collaborate with business leads to build data and analytics solutions for agency accounts (through Google Analytics, Data Visualization, etc.)

• Reports into Performance director as fuction to drive performance and business intelligence for clients.

• Develop and execute the overall data and analytics strategy aligned with the company’s goals and objectives.

• Establish and enforce data governance policies to ensure data quality, consistency, and security.

• Lead a team of data analysts and data scientists to deliver actionable insights and recommendations.

• Work closely with business leaders, IT, and other stakeholders to understand data needs and deliver solutions that meet those needs.

• Design measurement frameworks based on different goals and KPIs to measure the success of data initiatives and their impact on the business.

• Evaluate and implement the latest data technologies and tools to enhance data collection, storage, and analysis capabilities.

• Coordinate with data science team and operational excellence lead to develop and maintain dashboards and reports to provide regular updates on data analytics initiatives and business performance.

• Stay abreast of industry trends and best practices to continuously improve the company’s data strategy and analytics processes, through the collaboration with tech and measurement partners like Google, Meta, Tableau, Salesforce, etc.

Key competencies:

• AI & Machine Learning: Design and deployment of advanced analytics and ML models (e.g., fraud detection, recommender systems, segmentation).

• Marketing & Customer Analytics: Campaign measurement, segmentation, churn prediction, customer LTV, media mix modeling, and ROI optimization.

• Causal Inference & Statistical Modeling: Specialized in impact analysis and marketing event evaluation.

📊 Leadership & Strategy

• Team Leadership: Manages a team of data scientists and cross-functional teams including data engineers and BI analysts.

• Stakeholder Management: Extensive experience engaging with CXOs and business heads.

• Program & Project Management: Leads end-to-end data science delivery across industries and regions.

🛠 Tech Stack & Tools

• Languages: Python, R, SQL, PySpark, Scala

• ML Frameworks: TensorFlow, Keras, XGBoost, SVM, GBM

• Platforms & Tools: AWS, GCP, Azure, Snowflake, Databricks, Tableau, SAS

🏆 Industries Served

• Retail, Finance, CPG, Automotive, Technology is highly preferable.

What can we offer you:

Financial Compensation:

• Competitive financial package.
• Annual bonus (based on company profitability and employee performance).
• Annual economy return tickets to home country for self and family (spouse and children, if applicable).

Health and Wellbeing:

• Flexible hybrid-model and working schedule.
• Private personal and family healthcare.
• 3 wellness days to boost your energy and recharge yourself.

Company Perks and Culture:

• Highly diverse, multicultural & collaborative team spirit 
• Regular team socials through-out the year
• Friendly, approachable office atmosphere - and business-casual dress code

Professional Development & Growth:

• Dentsu University – internal online portal, access to ongoing online training and development opportunities to enhance your skills and advance your career.
• Internal mobility opportunities and regional exposure across MENA

Diversity and Inclusion:

Dentsu International is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our employees, global clients, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. We are interested in every individual bringing their whole self to work and this includes you!

Excited about the role?

Please apply online and your application will be reviewed against our requirements. If your profile matches our business requirements, our recruiters will make sure to get in touch with you soon. Should you not meet our immediate requirements, your profile will be registered in our talent pool system, and we will match your profile to suitable future vacancies.

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