Data Analyst - Brussels, België - AMA European Consulting
Beschrijving
The Data Analyst is responsible for analyzing data to provide insights and support decision-making processes within the organization. They work with large datasets, perform statistical analysis, and communicate findings to stakeholders.The Data Analyst plays a critical role in helping the business understand trends, identify opportunities, and optimize performance based on data-driven insights.
Responsibilities:
Data Collection and Cleaning:
Collect and clean large datasets from various sources to ensure data quality and integrity.
Data Analysis:
Perform exploratory data analysis (EDA) to identify patterns, trends, and correlations within the data.
Data Visualization:
Create visualizations (charts, graphs, dashboards) to present findings and communicate insights effectively.
Predictive Analytics:
Develop predictive models to forecast future trends and outcomes based on historical data.
Data Interpretation:
Interpret data analysis results and provide actionable recommendations to stakeholders.
Performance Monitoring:
Monitor key performance indicators (KPIs) and conduct ad-hoc analysis to understand business performance.
Data Reporting:
Prepare and deliver reports summarizing analysis findings and recommendations to stakeholders.
Collaboration:
Collaborate with cross-functional teams, including data engineers and business analysts, to support data-related initiatives.
Continuous Improvement:
Stay updated on data analysis techniques and tools, and identify opportunities to improve data analysis processes.
Required Skills:
- Proficiency in data analysis tools and programming languages (SQL, Python, R, etc.).
- Strong quantitative and analytical skills with the ability to work with large datasets.
- Knowledge of statistical analysis techniques and methodologies.
- Experience with data visualization tools (Tableau, Power BI, etc.) to create compelling visualizations.
- Familiarity with machine learning concepts and algorithms is a plus.
- Excellent communication and presentation skills to effectively communicate findings to non-technical stakeholders.
- Attention to detail and ability to ensure data accuracy and reliability.
- Problem-solving skills and ability to think critically to derive insights from complex datasets.
- Time management skills and ability to prioritize tasks in a dynamic work environment.
- Collaborative mindset and ability to work effectively in a team environment.
Education and Experience:
- Bachelor's degree in statistics, mathematics, computer science, or a related field.
- Previous experience in data analysis or a similar role is preferred.
- Certification in data analysis or relevant technologies is advantageous.
Type d'emploi :
Temps Plein, Freelance
Lieu du poste :
En présentiel
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