Stellenangebot
Data Analytics Engineer
Northern Trust sucht einen Data Analytics Engineer mit über 6 Jahren Erfahrung in Chicago, der Datenlösungen mit SQL, Excel und Microsoft Azure entwickelt. Die Rolle umfasst die Analyse komplexer Daten, die Zusammenarbeit mit Stakeholdern sowie die Weiterentwicklung der technischen Infrastruktur und Datenstrategie.
Key skills required for this role
- Advanced MS skills with using MS, Excel, and SQL
- Experience of 6+ years in developing data solutions for business problems across the world
- Proficient in Microsoft Azure (Azure Certification preferred recommended)
- Deep understanding of statistical analysis, regression, Machine Learning algorithms and data analytics tools, design and business queries
- Technical knowledge on cloud computing, services, and design, and datasets to draw accurate answers
- Maintain relationships with stakeholders and assist managers by providing business solutions
- Understand the first steps, research methods, and data sources
Roles and Responsibilities
- Manage the team and connect with stakeholders to work on finding opportunities and maintaining stronger trust relationship through effective asset management and is strong commitment to customer success
- Examine the largest working backlog, find issues, data structures, and create new requirements to support financial discovery and transformation goals
- Prioritize backlog ticketing to ensure that modern architecture principles and technology tools are adopted first
- Provide the infrastructure design to execute the support of a technical aspect
- Share business and technology knowledge to overcome critical issues
- Collaborate strongly to build upon our people and data driven culture
- Leases on top expertise to automate on knowledge development and evolve our strategy and technology that is always problem-solvers and creative
- Participate and lead our people-led initiative building to understand needs. Focus squarely on delivering the strong architecture
- Work with global data teams to prioritize on high-priority questions of planning, delivering, collecting testing and cycles
- The first steps of the business capacity models for our state technology
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