What You´ll Do

• Design, develop, and maintain analytical solutions that support business reporting, performance tracking, and data driven decision-making.
• Translate business requirements into scalable data models, reporting layers, dashboards, and actionable analytical outputs.
• Develop and maintain data preparation and transformation logic using SQL, Python, and cloud-based analytics platforms such as Azure Databricks.
• Build and enhance structured datasets and reporting-ready data models to support Power BI dashboards, semantic models, and recurring analytical use cases.
• Ensure data quality, consistency, and reliability through validation, reconciliation, testing, and documentation of business logic.
• Support automation and continuous improvement of reporting processes, data workflows, and recurring analytical activities.
• Collaborate with business stakeholders, analysts, and IT/data teams to understand requirements and deliver reliable analytics solutions.
• Support business users with ad hoc analysis, troubleshooting, documentation, and interpretation of analytical insights.
• Contribute to agile delivery by supporting requirement gathering, solution design, testing, documentation, and continuous improvement initiatives.
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What makes you a good fit

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, Business, or a related field.
• 2–4 years of experience in data analytics, business intelligence, analytics engineering, or related data roles.
• Strong hands-on experience with SQL for data extraction, transformation, and data modeling.
• Practical experience with Power BI / Tableau, including dashboard development, reporting layers, and semantic models.
• Practical experience with Python for data analysis, transformation, automation, or data preparation activities.
• Experience working with structured datasets, reusable analytical data models, data quality checks, validation, and documentation.
• Familiarity with cloud-based analytics platforms such as Azure Databricks, Spark/PySpark, Git, version control, or CI/CD is a plus.
• Strong problem-solving mindset, attention to detail, and ability to translate business needs into scalable analytical solutions.