About the job
Role Overview We are seeking an experienced Senior Associate - Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, modern data architectures, and cloud-based solutions. This role requires expertise in Azure Cloud Services, Data Mesh principles, and proficiency in programming languages such as Java and Python. You will collaborate with cross-functional teams to design, implement, and optimize data solutions that 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 • Azure Cloud Services: Hands-on experience with Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and related services. • Data Mesh: Strong understanding of Data Mesh principles, domain-oriented data ownership, and decentralized architecture. • Programming Languages: Proficiency in Java, Python, and familiarity with other languages such as Scala or R. • Data Analysis Tools: Expertise 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 of machine learning workflows for advanced analytics. Education • Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or related field. Working with Us: As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.
Requirements
- Azure Cloud Services
- Data Mesh
- Java
- Python
- SQL
- Power BI
- Tableau
- ETL processes
- data governance
Qualifications
- Bachelor's degree in Computer Science
- Master's degree in Data Science or Information Technology
Preferred Technologies
- Azure Cloud Services
- Data Mesh
- Java
- Python
- SQL
- Power BI
- Tableau
- ETL processes
- data governance
About the company
Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.
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