Responsibilities of the role:
- Provide digital campaign analytics - including campaign delivery, measurement, and attribution
- Client site analytics - e.g., Google Analytics, Adobe Analytics
- Client channel analytics - e.g., social listening, e-commerce - shopalyst, pre-post purchase analytics, pricing benchmarks
- Create omni(digital)-channel measurement strategies for performance reporting
- Deploy data-driven attribution models to support campaign optimization
- Develop and roll out frameworks around various attribution models
- Create a leading analytics solution suite leveraging media / neutral data clean rooms
- Foster a community of data analytics practitioners for knowledge sharing and growing expertise
What you will need:
- Min 4 -5 years experience working within an analytical role
- Prior experience within a digital media role is highly desirable, particularly search, social and programmatic
- A degree in a quantitative field (e.g. economics, computer science, mathematics, statistics, engineering, physics, etc.)
- Proficiency in Excel (including but not limited to VLOOKUP's, arrays, pivot tables, conditional and nested formulas, VBA/macros)
- Experience with SQL/ Big Query/GMP tech stack / Clean rooms such as ADH
- Hands-on experience on BI/Visual Analytics Tools like PowerBI or Tableau
- Knowledge or hands-on experience on analytics platforms like Google Analytics, Data Studio, Adobe Analytics, MMP such as Firebase, Appsflyer, Kochava etc.
- Evidence of technical comfort and good understanding of internet functionality desirable
- Analytical pedigree - evidence of having approached problems from a mathematical perspective and working through to a solution in a logical way
- Proactive and results-oriented
- A positive, can-do attitude with a thirst to continually learn new things
- An interest in media, advertising and marketing
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