About the role

  • Collect and organize data from various internal and external sources;
  • Perform data analyses using appropriate tools and techniques;
  • Develop and maintain reports and dashboards to monitor key performance indicators;
  • Assist in identifying trends and patterns in the data that can contribute to improving business processes;
  • Collaborate with other teams to understand their data needs and provide analytical support;
  • Participate in meetings and presentations to communicate findings and data-driven recommendations;
  • Ensure the integrity and quality of the data collected and analyzed.

Requirements

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields.
  • Intermediate English for reading and interpreting scientific articles and technical documentation.
  • Good communication skills to present data and insights clearly and concisely, and ease of working in a team;
  • Ability to work with large volumes of data and solve problems analytically;
  • Experience working in data analysis or Data Governance areas;
  • Advanced knowledge of data analysis methodologies and best practices;
  • Basic knowledge of data visualization using tools such as Tableau, Power BI, or similar;
  • Familiarity with data analysis tools: SQL, Python, or R;
  • Advanced knowledge of data visualization using tools such as Tableau, Power BI, or similar;
  • Knowledge of statistics and quantitative analysis methodologies;
  • Experience with git, Docker, Spring Boot, and Python;
  • Knowledge of relational databases (Oracle, MySQL, Postgres);
  • Knowledge of NoSQL databases (MongoDB, Redis);
  • Knowledge of Hadoop architectures and Apache Spark;
  • Knowledge of ETL tools such as Pentaho PDI or similar;

Benefits

  • Health insurance
  • Dental insurance
  • Meal allowance
  • Commuter/transportation allowance
  • Birthday day off (one day off during the birthday month)
  • Life insurance
  • Childcare assistance
  • Wellness and quality-of-life programs: "Viva com + Saúde" — support for sports activities
  • SESC membership
  • Partnership with a language school

Job title

Data Analyst, Mid-level

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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