About this role
Job Description:
About the Role
The Data & Analytics Specialist will analyze media and marketing data to generate actionable insights that drive performance improvement. You’ll work with planners, strategists, and clients to translate data into meaningful narratives and optimization opportunities.
Key Responsibilities
Collect, clean, and analyze data from multiple marketing and media sources.
Build dashboards and performance reports for clients and internal teams.
Identify trends, insights, and optimization opportunities.
Collaborate with media and strategy teams to align measurement frameworks.
Support A/B testing, attribution modeling, and effectiveness analysis.
Ensure data accuracy and consistency across platforms.
Requirements
3–5 years of experience in analytics, data visualization, or media performance.
Proficiency in tools like Power BI, Google Data Studio, or Tableau.
Solid understanding of digital metrics, tracking, and attribution.
Strong analytical and storytelling skills.
Detail-oriented, structured, and proactive.
Location:
CasablancaBrand:
DentsuTime Type:
Full timeContract Type:
PermanentOther facts
About dentsu
Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC.
What you'll do
- The Data & Analytics Specialist will analyze media and marketing data to generate actionable insights that drive performance improvement. Key responsibilities include collecting, cleaning, and analyzing data, building dashboards, and collaborating with teams to identify optimization opportunities.
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