Job offer

Data Analytics Engineer

Northern Trust is looking for a Data Analytics Engineer with over 6 years of experience in Chicago to develop data solutions using SQL, Excel, and Microsoft Azure. The role involves analyzing complex data, collaborating with stakeholders, and further developing the technical infrastructure and data strategy.

Key skills required for this role

  • Advanced MS Skills, Including the Use of MS, Excel, and SQL
  • 6+ years of experience developing data solutions for business problems around the world
  • Proficient in Microsoft Azure (Azure certification preferred)
  • In-depth understanding of statistical analysis, regression, machine learning algorithms, and data analytics tools, as well as the design and implementation of business queries
  • Technical knowledge of cloud computing, services, and design, as well as datasets to derive 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 engage with stakeholders to identify opportunities and build stronger relationships based on trust through effective asset management and a strong commitment to customer success
  • Examine the largest work backlog, identify issues and data structures, and create new requirements to support financial discovery and transformation goals
  • Prioritize backlog ticketing to ensure that modern architectural principles and technology tools are adopted first
  • Provide the infrastructure design to support the technical aspects
  • Share business and technology knowledge to address critical issues
  • Work closely together to build on our people- and data-driven culture
  • We bring in top expertise to drive knowledge development and advance our strategy and technology—always focused on problem-solving and creativity.
  • Participate in and lead our people-led initiative to identify needs. Focus squarely on delivering a robust architecture
  • Work with global data teams to prioritize high-priority issues related to planning, delivery, data collection, testing, and cycles
  • The first steps in developing business capacity models for our state technology

Job details

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