Dubai
Company Info
Large organization
200 + Employees
amana
Table of Contents
Job Position – Marketing Data Analyst
Job Details Here
The amana marketing team is looking for a Marketing data analyst. Your role will be focused on giving detailed and actionable insight into the performance and effectiveness of marketing activities.
Responsibilities
Work closely with internal teams to combine media measurement, analytics, first-, second- and third-party data to give detailed and actionable insight into the performance and effectiveness of marketing activities
Monitor campaign performance across multiple channels and continuously optimize it
Perform deep-dive analyses of digital campaigns and develop an understanding of the commercial goals and take on long-term, strategic initiatives
Drive A/B testing of marketing campaigns, user journeys, product features, and user experience
Organize and visualize real-time datasets in meaningful ways to benefit stakeholders at all levels, providing data-driven insights and learnings of specific campaigns, as well as leverage data to “tell the story“ of diverse marketing activities
Drive the key product KPIs, such as acquisition, engagement, retention, and optimize the marketing funnel
Transform data into meaningful insights, and be able to present these insights in a way that is clear and simple for senior level executives or cross-functional teams to understand.
The Successful Applicant
4+ years of experience in marketing and/or data analysis
Must have analyst proficiency in all major platforms through which media is delivered and performance is measured (Google Marketing Platform, Facebook, CRM tools etc.)
Must have excellent knowledge of all necessary data retrieval, analysis and visualization tools as required for the role, such as SQL, Python, R etc.
Expert using Excel for data analysis and modeling
Must be familiar with the digital media ecosystem and the relationship between different media channels, in particular an understanding of current industry issues, measurement complexity and the strengths and weaknesses of different attribution models, identity solutions and walled gardens.
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