Trainee Data Consulting position at Mediaplus in Munich focusing on Data Analytics and Sales Forecasting. Collaborating with teams to analyze and visualize data for marketing strategies.
CE
Hybrid Data Analyst, Mid-level
Posted 2 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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