Data Scientist

Analista de BI Junior

Data science Big Data Excel SQL

RankMyApp

RankMyApp

Startup

Salário: Até R$4.000

Não aceita candidatos de outra cidade

Descrição da empresa

RankMyApp is an App Store Optimization (ASO) tool, SEO for Apps, that helps you get more visibility and more organic downloads on the app stores in a simple and smart way

Benefits - Save time:
– our algorithm finds the best keywords for your app.
- Save more time – we map out your market segment and competition.
Improve your rankings – gain more visibility and more downloads.

Start putting more intelligence into your app marketing today!


Atividades e Responsabilidades

Requirements

Mandatory:
Advanced english (part of the interview will be in english);
Perfect portuguese (written test will be mandatory);
Advanced knowledge with data analytics and statistics;
Advanced Excel;
Great oratory and public posture;
SQL Server / ELT knowledge;
BI Plataform knowledge - Power BI;
Personal laptop;
Fast learner;
Entrepreneurial mindset;
Availability to work in Sao Paulo full-time.
Preferred:
Degree in IT, engineering or statistics areas;
Interest in mobile marketing.

Responsibilities
Plan, create, send and analyze reports;
Control team deadlines;
Create a data structure integrated with all company areas;
Collect, analyze and interpret data;
Maintain database by entering, verifying, and backing up data;
Help the all areas to implement new data processes;


Requisitos

Requirements

Mandatory:
Advanced english (part of the interview will be in english);
Perfect portuguese (written test will be mandatory);
Advanced knowledge with data analytics and statistics;
Advanced Excel;
Great oratory and public posture;
SQL Server / ELT knowledge;
BI Plataform knowledge - Power BI;
Personal laptop;
Fast learner;
Entrepreneurial mindset;
Availability to work in Sao Paulo full-time.
Preferred:
Degree in IT, engineering or statistics areas;
Interest in mobile marketing.

Responsibilities
Plan, create, send and analyze reports;
Control team deadlines;
Create a data structure integrated with all company areas;
Collect, analyze and interpret data;
Maintain database by entering, verifying, and backing up data;
Help the all areas to implement new data processes;




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