AMA European Consulting is seeking a skilled Data Analyst to join their team. As a Data Analyst, you will analyze and interpret large datasets, applying statistical techniques to uncover valuable insights. You will collaborate with cross-functional teams and communicate your findings to stakeholders. This role is crucial in driving data-informed decision-making and achieving strategic objectives.

In this role you can expect to have the responsibilities:

• Collect and clean large datasets to ensure data quality and integrity.
• Perform exploratory data analysis (EDA) to identify patterns and trends.
• Apply statistical techniques to analyze data and derive meaningful insights.
• Create visualizations (charts, graphs, dashboards) to communicate findings effectively.
• Develop predictive models to forecast future trends and outcomes.
• Interpret data analysis results and provide actionable recommendations.
• Monitor key performance indicators (KPIs) and conduct ad-hoc analysis.
• Prepare and deliver reports summarizing analysis findings and recommendations.
• Collaborate with cross-functional teams to support data-related initiatives.
• Stay updated on data analysis techniques and tools, and identify process improvement opportunities.

This role requires you to have:

• Proficiency in SQL, Python, R, and other data analysis tools and programming languages.
• 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 such as Tableau and Power BI.
• Familiarity with machine learning concepts and algorithms (preferred).
• Excellent communication and presentation skills.
• Attention to detail and data accuracy.
• Problem-solving skills and ability to derive insights from complex datasets.
• Time management skills and ability to prioritize tasks.
• Collaborative mindset and ability to work effectively in a team environment.

Bachelor's degree in statistics, mathematics, computer science, or a related field is required. Previous experience in data analysis or a similar role is preferred. Certification in data analysis or relevant technologies is advantageous.