Responsible for collecting and analyzing multilingual conversational data focusing on diplomatic terminology for AI models development. Ensuring linguistic accuracy and terminology consistency.
CE
Hybrid Data Analyst, Mid-level
Posted 4 months ago
About the role
- Data Analyst at CIEE responsible for data collection, analysis, and reporting to enhance business processes. Collaborating across teams to support analytical needs.
Responsibilities
- 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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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