About the project

• We are seeking a detail-oriented Data Analyst to join our analytics team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to support business decisions. This role involves working closely with cross-functional teams to provide actionable insights and develop reports that drive business performance.
• This role offers an exciting opportunity to work with diverse datasets and contribute to data-driven decision-making. If you are passionate about transforming data into insights and thrive in a collaborative environment, we encourage you to apply.
• MD rate: 160 - 200 EUR

Your responsibilities

• Collect, clean, and analyze large datasets to identify trends and patterns.
• Develop and maintain reports, dashboards, and data visualizations using tools like Power BI, Tableau, or Excel.
• Work with stakeholders to define key performance indicators (KPIs) and deliver insights to support business objectives.
• Perform statistical analysis to provide insights and recommendations for decision-making.
• Collaborate with IT and data engineering teams to ensure data integrity and availability.
• Build and optimize SQL queries to extract and manipulate data from databases.
• Present findings to stakeholders in a clear and concise manner.
• Document data analysis processes and methodologies for future reference.

Our requirements

• 3+ years of experience in data analysis or a related field.
• Proficiency in SQL for querying and data manipulation.
• Experience with data visualization tools such as Power BI, Tableau, or Looker.
• Strong analytical skills and proficiency in Excel (including advanced functions and pivot tables).
• Knowledge of statistical analysis and data modeling techniques.
• Familiarity with programming languages such as Python or R for data analysis.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to present complex data in an understandable way.

Optional

• Experience with big data tools such as Spark or Hadoop.
• Knowledge of cloud-based data platforms like AWS Redshift, Google BigQuery, or Azure Synapse.
• Familiarity with ETL tools for data preparation and transformation.
• Exposure to machine learning techniques and predictive modeling.
• Certification in data analytics (e.g., Microsoft Certified: Data Analyst Associate, Tableau Certification).
• Exposure to Agile/Scrum methodologies.

Technologies we use

This is how we work on a project

• Continuous Deployment

• Continuous Integration