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We are seeking a Senior Data Analyst who excels at turning complex data into actionable insights. The ideal candidate will lead the design and implementation of data products on the Microsoft Azure platform, utilizing cloud-native solutions to solve business challenges. This role requires strong proficiency in SQL and Python, along with experience in data architecture and analytics.
Job Responsibility:
Partner with stakeholders to gather requirements and translate them into impactful data solutions
Design and optimize data architectures, pipelines, and warehouses to enable scalable analytics
Perform deep-dive analysis on large, structured datasets to uncover trends and drive decisions
Document data flows and ensure clarity from source to target
Collaborate with cross-functional teams to deliver insights that answer critical business questions
Communicate findings through clear storytelling, both written and verbal, to technical and non-technical audiences
Champion data quality, governance, and security across all solutions
Requirements:
Experience across the data pipeline: acquisition, preparation, and architecture
Strong proficiency in SQL and Python for data analysis and automation
Hands-on experience with Azure services, including deployment automation (PowerShell/Azure CLI)
Familiarity with modern data tools: Spark, Databricks, Hadoop, Kafka, and data warehousing
Exposure to real-time data streaming and containerization (Docker, Kubernetes)
Understanding of data engineering principles supporting AI/ML initiatives
Experience with Agile practices and collaborative team environments
Excellent communication skills and ability to translate technical insights into business value