Analytics Engineer at Shields Health Solutions

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

0.0

Posted On

06 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Communication Skills, Data Science, Machine Learning, Logistic Regression, Excel, Problem Solving, Data Project Management, Team Collaboration, Python, Shell Scripting, Tableau, Business Intelligence, Data Modeling, Healthcare Data

Industry

Hospitals and Health Care

Description

HYBRID ROLE BASED IN STOUGHTON, MA (2x per week in office) 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. 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 California residents employed by or applying for work at Shields have certain privacy rights. Please review our: California Workforce Privacy Notice and Privacy Policy. Shields Health Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Responsibilities

The Analytics Engineer will build complex SQL views and procedures for reporting and develop predictive analytics for operational use. This role involves project ownership from requirements gathering to delivery and collaboration with various teams to enhance the analytics offerings.