Growth Engineer
hace 3 días
This is a great opportunity to join a passionate team, constantly learning new technologies at an already rapidly-scaling startup.
You’ll work closely with the IT team and also with the growth team to solve new situations on a daily basis.
The COO has identified growth engineering as a major opportunity area for the company. You’ll work closely with him as well as the Head of Growth and the Head of Product to design and analyze experiments, generate marketing know how and support customer onboarding.
**Key Responsibilities
Technical set up and client onboarding; assist growth team in experiments.
Work close to Growth team and Product team to improve Client’s data analysis.
Assist Growth team in Jupyter Notebooks, ad-hoc tableau dashboards and ad-hoc insights.
Own technical integrations with customers such as Analytics solutions, traffic source tracking and technical onboarding. Ensure that onboardings are properly done so the Winclap and client can receive all data.
Assist Growth team in complex campaigns technical set up (tracking link, deeplink, audience management, etc.).
Assist Growth team in running relevant experiments for clients (i.e. incrementality testing).
Research and analysis of experiments and understanding of growth metrics.
Create new user experiences based on data decisions.
Define strategies and establish key metrics for project’s growth.
Set metrics to monitor progress, highlight information and find new opportunities.
Participate in the process of ideating and development of new projects and end to end analysis.
Develop a deep understanding of the product and the clients strategies
Keep updated with new technologies and potential solutions.
**MINIMUM REQUIREMENTS**:
Industrial Engineer. Recently graduated or currently on the last year.
Proven Analytical skills: background in statistics and, ability to use data to generate hypotheses and define success metrics.
Junior data science skills: Python, Tableau, SQL, Pandas, Visualization (matplotlib, seaborn)
Desire to learn how to extract value from data in the context of mobile marketing and app economy.
English: intermediate level.
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