Sr. Associate - Data Analyst

Role Overview: You are a Senior Associate - Data Analyst with a strong background in data analysis, modern data architectures, and cloud-based solutions. Your expertise in Azure Cloud Services, Data Mesh principles, and proficiency in programming languages such as Java and Python will be utilized to design, implement, and optimize data solutions. You will collaborate with cross-functional teams to enable actionable insights and support business decisions. Key Responsibilities: - Analyze large and complex datasets to identify trends, patterns, and actionable insights. - Design and implement data models aligned with Data Mesh architecture principles. - Build and manage data solutions using Azure Cloud Services (Azure Data Lake, Azure Synapse, Azure Databricks, etc.). - Develop and maintain ETL pipelines and data workflows for efficient data processing. - Create dashboards, reports, and visualizations to communicate findings to stakeholders. - Ensure data quality, governance, and compliance with organizational standards. - Stay updated on emerging technologies and best practices in data analytics and distributed data systems. Mandatory Skills & Qualifications: - Hands-on experience with Azure Cloud Services (Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and related services). - Strong understanding of Data Mesh principles, domain-oriented data ownership, and decentralized architecture. - Proficiency in Java, Python, and familiarity with other languages such as Scala or R. - Expertise in SQL, data visualization tools (Power BI, Tableau), and statistical analysis. - Knowledge of ETL processes, data pipelines, and data governance. - 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 of machine learning workflows for advanced analytics. Education: - Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or related field.,