Data Analytics Trainer:in designing hybrid training formats in Berlin. Empowering women in Data & Tech, focusing on practical skills and certifications.
About the role
- Data Analyst responsible for collecting, organizing, and analyzing data to provide actionable insights. Collaborating with business and technical teams for data-driven decision-making.
Responsibilities
- Collect and integrate data from multiple sources, including databases, CSV files, APIs, etc.
- Clean and preprocess data to ensure its quality, consistency, and integrity.
- Perform exploratory data analysis to identify patterns, trends, and relevant correlations.
- Develop analytical models and algorithms for forecasting, customer segmentation, churn analysis, and other use cases.
- Create clear, informative data visualizations using Looker Studio.
- Interpret analytical results and communicate insights effectively to technical and non-technical stakeholders.
- Collaborate with cross-functional teams to identify optimization and improvement opportunities based on data.
- Stay up to date with trends and emerging technologies in data analysis and data science.
Requirements
- Proficiency in SQL to extract, manipulate, and analyze data from relational databases.
- Skills in programming languages such as Python, R, or Java for data analysis, large-scale data manipulation, and process automation.
- Experience with data visualization tools such as Looker Studio, Pentaho, Tableau, Power BI, Matplotlib, Seaborn, etc., to create clear and informative visualizations.
- Ability to perform exploratory data analysis (EDA) using statistical and visualization techniques to understand the structure, patterns, and relationships in the data.
- Proficiency with data manipulation libraries and tools such as pandas (Python) or dplyr (R).
- Knowledge of data modeling to design efficient database schemas and develop predictive models.
- Understanding of machine learning and artificial intelligence concepts and techniques to build predictive and analytical models.
- Familiarity with technologies such as Hadoop, Spark, or cloud computing tools to handle large volumes of data.
- Experience with MySQL/SQL Server and MongoDB; building ETLs and datalakes; data manipulation; proficiency with data architecture/middleware tools such as Pentaho and Apache Hop; experience building dashboards in Looker Studio (Data Vys); and managing requests/demands via ClickUp.
Benefits
- R$ 500.00/month ECXPAY card;
- Access to Wellhub;
- Zenklub plan — psychologist / nutritionist / coaching / therapy;
- Partnership with Mediquo — telemedicine platform;
- 22 days of paid leave after 12 months;
- Partnership with Time Load language course;
- Partnership with Bridges Clinic.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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