Role Brief

The Data Products team is looking for an Analytics Engineer to build upon our existing Analytics infrastructure and develop the next wave of descriptive and predictive Analytics products.

In this role, you will bridge the gap between data loaded by our engineering team, and the end-user offerings built by our Reporting teams. This role reports to the Director of Data Product. This role will be hybrid with 2-3 days in office in Stoughton, MA.

Main Responsibilities

• Build complex SQL views and procedures to enable operational, financial, and clinical reporting
• Own projects from beginning to end, including requirements gathering, QA, delivery, and communication
• Collaborate with Business and Clinical Reporting teams to ensure seamless interpretation of reporting objects
• Develop predictive analytics that can be used at the point of operations
• Collaborate with Engineering teams to guide in data modeling and implementation decisions
• Address enhancements and bugs to existing reporting framework
• Regularly provide project status updates to manager, proactively identifying blockers and possible resolutions

As an Analytics Engineer, you will be responsible for building and enhancing the Shields Analytics offerings. The Analytics team services all departments across the organization. One day you may be building a procedure that gives executive insight into the financial trends of the business. The next day, you may find yourself modeling HRIS data to best track the operations of the business. However, everything that you do will play a part in furthering the Shields mission – to treat every patient with the highest level of care, as you might a family member.

The Analytics team is a fast-paced environment, and demands flexibility, teamwork, and individual ingenuity. You will succeed in this role if you are passionate about the Shields mission, love working with healthcare data, and enjoy working in a collaborative team environment.

Key Requirements and Preferred Qualities

• Strong SQL development background
• Strong communication skills required
• Experience with Data Science techniques, including machine learning and logistic regression preferred
• Experience using Excel to tell a story with data
• Problem solvers, who aren’t afraid to knock down doors
• Ability to take a complex data project from beginning to end, including requirement gathering, development, quality assurance, and end-communication
• Motivated to work hard, learn, grow, and strive to excel
• Collaborative team member who can work with engineers, analysts, business-users, and executives alike
• Python experience and Shell scripting preferred
• 1-3 years in an Analytics-focused role
• Experience with Tableau and/or other Business Intelligence software a plus
• Data Modeling experience a plus
• Experience with Healthcare data a strong plus