
Mid-level Data Analytics Analyst
AlmapBBDO
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • Brazil
Visit company websiteExplore more
About the role
- Close monitoring and support of media operations
- Interaction with client teams during project involvement
- Presentation of reports and analyses to clients and other agency teams
- Collaborate on strategic planning by applying broad critical thinking about the client’s brand, actions, and competitive landscape using available data
- Expand the volume of available data by working together with the data engineering team
- Translate analytical needs into project specifications for specialists (data solutions, data engineering, martech, social insights, research, etc.)
- Participate in channel, audience and budget strategies
- Present to clients with support from specialists (social, research, etc.) in a clear, layperson-friendly narrative (strong storytelling skills for PPT/Keynote)
Requirements
- Knowledge and experience with Google Analytics and digital marketing tools: media platforms, social networks, audience platforms
- Previous experience implementing and analyzing data with GA4 (Adobe Analytics is a plus)
- Proactive, solution-oriented approach to identifying and resolving related issues
- Intermediate/advanced knowledge of data visualization tools: Power BI / Looker Studio
- Advanced Excel
- Marketing concepts such as customer journey, conversion funnel, and attribution
- On- and off-line media metrics, acquisition and business metrics (preferred)
- Handling of unstructured and semi-structured data
- Understanding of first-, second-, and third-party data concepts
- Advanced English - conversational
Benefits
- Close monitoring and support of media operations
- Interaction with client teams during project involvement
- Presentation of reports and analyses to clients and other agency teams
- Collaborate on strategic planning by applying broad critical thinking about the client’s brand, actions, and competitive landscape using available data
- Expand the volume of available data by working together with the data engineering team
- Translate analytical needs into project specifications for specialists (data solutions, data engineering, martech, social insights, research, etc.)
- Participate in channel, audience and budget strategies
- Present to clients with support from specialists (social, research, etc.) in a clear, layperson-friendly narrative (strong storytelling skills for PPT/Keynote)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Google AnalyticsGA4Adobe Analyticsdata visualizationPower BILooker StudioExceldata analysisdata engineeringdata solutions
Soft Skills
critical thinkingstorytellingproactivesolution-orientedcollaborationpresentation skillscommunication