
OLIVER Latin America
OLIVER Latin America está com vaga(s) de emprego para Data Analyst Para Rio De Janeiro em Rio de Janeiro / RJ
Cargo:
Data Analyst para Rio de Janeiro
Requisitos:
A LITTLE BIT ABOUT THE ROLE - DATA ANALYST
Working within a dynamic team, the Data Analyst identifies and understands how to mine and blend data from all marketing channels, to deliver against client and team briefs.
WHAT IS REQUIRED:
- Deliver best in class data solutions to client projects using statistical analysis and modelling techniques
- Push the boundaries of how data can be used to decode consumers' emotional needs and solve business problems
- Deliver expert web analytics analysis using a variety of applications and software e.g. Google and Adobe
- Present and explain the results of analysis to non-technical clients and colleagues
- Work closely with the rest of the team (onsite and in the hub) to develop innovative solutions to client projects
- Assist with the development of business cases in support of campaign and wider data initiatives
- Report on the success of campaigns using highly visual techniques including dashboard builds, to highlight trends in the data and the rationale for trends
- Advise clients on the optimum way to use data and analytical/statistical techniques to drive maximum value from their data
WHAT GOOD LOOKS LIKE:
- Strategic thinker with an innovative approach to data
- Familiarity with SEO inner workings
- Experience with GenAI tools such as ChatGPT, Midjourney, Adobe Firefly, Jasper, etc.
- Experience with GenAI techniques such as model selection & prompting
- Ability to generate interest and active usage of the data insights produced by content, customer experience, and creative teams
- Ensuring a team-wide adoption of test and learn approaches to content (real-time data and insight-driven optimisation to improve performance of digital content)
- Ability to develop varying types of data analysis including cluster, segmentation, and modelling
- Relevant experience in data analytics software and applications + data modelling
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Salário:
A combinar
Benefícios:
Não foi informado
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