Information Engineer - Analytics, Full-time, Days

Company Description

At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better healthcare, no matter where you work within the Northwestern Medicine system. At Northwestern Medicine, we pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, we take care of our employees. Ready to join our quest for better?

Job Description

The Information Engineer reflects the mission, vision, and values of NM, adheres to the organization’s Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards.

Working in Analytics at Northwestern Medicine, we help our clinical and administrative leadership through the development of thoughtful, highly engaging analytics products that will impact the clinical and financial areas of our health system. We do this by engaging with our customers to understand opportunities for improvement and then applying the right analytic solution to drive that improvement. Our health system looks to us to be thought-leaders, which requires us to be analytical problem solvers by nature. We also strive to develop a deep understanding and empathy for our internal customers and communicate the value and purpose to stakeholders. Through tenacity and resilience, we will strive through ambiguity, drive impactful projects, and overcome challenges.

Northwestern Medicine is looking for a data driven, business-minded; results oriented Information Engineer to join our team. The Information Engineer uncovers insights that drive strategy and optimal decision making for the executive team and leaders across the organization. In this role, you will be charged with understanding the ‘who, what, and whys’ of our business - working cross-functionally to realize the value of NM’s data assets.

To succeed in this role, you must be innately curious, deeply analytical, highly driven, and a strong communicator. Some of those qualities include but are not limited to: 

• Be a Data Champion! Effective analysis is only possible with good data - be an advocate of data accessibility, accuracy and quality.
• Be Curious! Find data nuggets, trends and other analytical goodies that help support our mission, vision, and values and advance our department as a whole.
• Be a Team Player! Collaboration is what makes us great – come prepared to work with a diverse cross-section of technical and business professionals.
• The Information Engineer is responsible for delivering data warehouse and analytic solutions to the health system using descriptive and inferential statistics, data science, visualizations, and storytelling.
• Serves as a functional and content expert of pipelines to synthesize raw data into actionable information.
• Applies knowledge of relational database skills including advanced SQL knowledge and the ability to create complex queries and stored procedures.
• Designs and develops information delivery components including dashboards, reports, and cubes.
• Ensures reporting and analytical solutions are consistent with approved NM reporting and visualization standards.
• Provides facilitation, analysis, design, and execution of analytical solutions and ensures those solutions are leveraged by users and across teams. Creates, documents, and communicates the integration approach of all the components of the solution.
• Maintains knowledge of current trends and developments in the field. Actively explores emerging technologies.
• Independently works with business users to gather and scope requirements and recommend solutions to meet business needs.
• Assists with ETL design and development including data analysis, source-target mapping, quality profiling, change data capture, program performance.
• Evaluates data quality and interprets results in a clear, concise manner.
• Develops documentation on requirements, decisions, design, modifications, and any associated maintenance. 
• Owns analytics projects and is accountable for collaborating with the business to gather and execute on requirements, which exceed customer expectations.
• Works collaboratively with and supports multi-departments efforts and projects.
• Mentors staff at all levels and seen as subject matter expert through sharing skills, experience, knowledge, and expertise analytic tools, solutions, storytelling, and use of visualizations.
• Participates and contributes to overall training development, maintenance, and facilitate trainings both in