Lead Data Analyst
vor 1 Monat
Job Title: Lead Data Analyst - Azure Specialist
Glocomms, a global leader in the sector, is expanding its data capabilities to drive strategic insights and innovation.
As part of our growth, we're seeking an experienced Lead Data Analyst with Azure expertise to support critical data initiatives and elevate our analytical capabilities.
The successful candidate will apply advanced analytics, machine learning, and statistical modeling to address key business challenges, design and implement data models and solutions using Azure's tools, and help us leverage data-driven insights to drive impactful decisions.
We offer a competitive salary of $120,000 per year, depending on experience, and are based in Berlin.
Key Responsibilities:
- Data Analysis & Modeling
- Conduct exploratory data analysis to identify patterns and trends, develop and refine predictive models aligned with business objectives, and perform A/B testing and experiments to evaluate initiative effectiveness.
Machine Learning & Advanced Analytics
- Build and deploy machine learning models within Azure Machine Learning, optimize models using Azure Databricks and AutoML, and collaborate on AI solutions, including natural language processing (NLP) projects as applicable.
Data Engineering & Integration
- Design and manage data pipelines with Azure Data Factory, ensuring data quality and scalability, integrate and organize diverse data sources within Azure Data Lake for analytical access, and uphold data governance standards for security and accessibility.
Collaboration & Communication
- Engage with cross-functional teams to understand goals and provide data-driven insights, present findings and visualizations to technical and executive stakeholders.
Azure Ecosystem Management
- Utilize Azure Synapse Analytics for large-scale data warehousing and analytics, keep current with Azure's evolving data products to enhance analytics capabilities.
We require proven Lead Data Analyst experience with a strong portfolio in analytics and machine learning. Key skills include expertise in Azure data services: Azure Data Lake, Azure Databricks, Azure Machine Learning, Azure Data Factory, proficient in Python and SQL, and experience with big data tools (e.g., Spark, Hadoop) in the Azure ecosystem.
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