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Data Strategist
hace 1 mes
The Data Strategist is a versatile and flexible analytics resource who learns quickly, takes direction with mínimal instruction, and produces insightful reporting on ad-hoc basis.
Working closely with the rest of the account team, the Data Strategist is comfortable using various web-based interfaces such as Adobe Analytics or Google Tag Manager and can overcome challenges with mínimal direction.
The Data Strategist has a voracious appetite for learning about our clients' businesses and understanding how digital metrics impact the bottom line.
As such, is the go-to person when it comes to explaining how macro business trends manifest themselves in tactical, everyday reporting.
**You will**:
- Maintain a well-organized approach to a variety of project work.
- Manage time efficiently to ensure accurate delivery.
- Communicate properly between the Marketing Science team and other disciplines.
- Approach analysis process logically to demonstrate how data lead to conclusions.
- Drive team collaboration to provide support, share skills, and gain insight.
**You have**:
- Advanced English level (at least B2+).
- Experience in providing clear & concise data recommendations.
- 2+ years of experience with digital analytics platforms: Google or Adobe Analytics
- 2+ years of experience with digital analytics implementation, including Tag Manager systems (Google Tag Manager, Adobe Launch, Tealium).
- 2+ years of experience with with 1 or more testing platforms: Optimizely, Adobe Target, etc., and interest in the ideation, development, and analysis of split and multivariate testing.
- Deep understanding of digital marketing ecosystem and how they differ.
- Strong understanding of digital media channels (e.g.
: Social, SEM, SEO, OLV, etc.)
including how each one works and how they interact with one another.
- Ability to efficiently manage multiple projects at the same time, proactively communicating needs, roadblocks, and statuses to the necessary people
- Working experience with Python / ETL is a nice to have
- Experience working with statistical analysis techniques and quantitative methods is a nice to have
- Experience with one or more visualization platforms: Tableau, Domo, PowerBI, Datorama, etc.is a nice to have
