Senior Associate - Data Analyst

Job description

Senior Associate - Data Analyst

Key tasks

• Analyzing large and complex data sets to identify trends, patterns, and actionable insights.
• Design and implement data models that align with the architectural principles of Data Mesh.
• Create and manage data solutions with Azure Cloud Services (Azure Data Lake, Azure Synapse, Azure Databricks, etc.).
• Develop and maintain ETL pipelines and data workflows for efficient data processing.
• Creating dashboards, reports, and visualizations to communicate results to stakeholders.
• Ensuring data quality, governance, and compliance with organizational standards.
• Stay up to date with new technologies and best practices in data analytics and distributed data systems.

Required skills and qualifications

• Azure Cloud Services: Hands-on experience with Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and related services.
• Data Mesh: Good understanding of data mesh principles, domain-oriented data ownership, and decentralized architecture.
• Programming languages: Familiarity with Java, Python, and knowledge of other languages such as Scala or R.
• Data analysis tools: Expert knowledge in SQL, data visualization tools (Power BI, Tableau), and statistical analysis.
• Data engineering concepts: Knowledge of ETL processes, data pipelines, and data governance.
• Communication skills: Ability to present complex data insights to technical and non-technical stakeholders.

Preferred skills

• Experience with big data technologies (Spark, Hadoop).
• Familiarity with CI/CD pipelines and DevOps practices.
• Knowledge of API development and integration.
• Understanding machine learning workflows for advanced analytics.

We offer

Freedom to move within the organization, access to experienced leaders, and the opportunity to work in a company with a greater purpose. A workplace with a greater purpose.