Data Intelligence Analyst, Mid Level

Jobtailor; São Paulo; Presencial; BRL 90 000 - 160 000; Tempo integral

Resumo da oferta

Jobtailor in Brazil is seeking a data analytics professional to develop analyses, build data pipelines and create dashboards that clearly communicate insights across teams. The role emphasizes hands-on use of Python/SQL, BI tools, and robust data modeling.

You will collaborate with business units, perform end-to-end analytics projects, document methodologies, and translate complex results for non-technical stakeholders, enabling data-driven decisions at scale.

Qualificações

• Minimum of 2 years of experience in Data and Analytics-related roles.
• Bachelor’s degree in Statistics, Computer Science, Mathematics, Engineering, or related fields.
• Hands‑on experience with data analysis languages (Python, R, or Scala).
• Proficiency in SQL and experience with relational databases.
• Experience with visualization tools (Power BI, Tableau, Looker).
• Knowledge of statistics and data modeling techniques.
• Experience implementing ETL processes.
• Good communication skills to translate technical concepts for non-technical audiences.

Responsabilidades

• Develop and implement analyses and analytical models;
• Build and optimize data pipelines for efficient processing;
• Create visualizations and dashboards that communicate insights clearly;
• Perform exploratory data analysis to identify patterns and trends;
• Collaborate with business teams to understand needs and requirements;
• Participate in analytics projects end-to-end, from planning to implementation;
• Document data analysis processes and methodologies.

Conhecimentos

Data analysis

Statistics

Communication

Problem-solving

Formação académica

Bachelor's degree in Statistics, Computer Science, Mathematics, Engineering, or related fields

Ferramentas

Python

SQL

Power BI

Tableau

Looker

Spark

Hadoop

Azure

AWS

GCP

MongoDB

Cassandra

ETL Tools

Descrição da oferta de emprego

Responsibilities

• Develop and implement analyses and analytical models;
• Build and optimize data pipelines for efficient processing;
• Create visualizations and dashboards that communicate insights clearly;
• Perform exploratory data analysis to identify patterns and trends;
• Collaborate with business teams to understand needs and requirements;
• Participate in analytics projects end-to-end, from planning to implementation;
• Document data analysis processes and methodologies.

Requirements

• Minimum of 2 years of experience in Data and Analytics-related roles;
• Bachelor’s degree in Statistics, Computer Science, Mathematics, Engineering, or related fields;
• Hands‑on experience with data analysis languages (Python, R, or Scala);
• Proficiency in SQL and experience with relational databases;
• Experience with visualization tools (Power BI, Tableau, Looker);
• Knowledge of statistics and data modeling techniques;
• Experience implementing ETL processes;
• Good communication skills to translate technical concepts for non-technical audiences.

Desired Skills

• Knowledge of machine learning and implementation of predictive models;
• Experience in the financial sector or fintechs;
• Knowledge of Microsoft Fabric;
• Familiarity with big data tools (Spark, Hadoop);
• Experience with cloud platforms (Azure, AWS, GCP) and their data services;
• Experience with NoSQL databases (MongoDB, Cassandra);
• Relevant certifications in Data and Analytics;
• Knowledge of data governance and data quality.