Analytics Engineer: Build End-to-End Data Products (Hybrid)

Meduvi; Canton (MA); Hybrid; USD 70,000 - 100,000; Full time

Job summary

Meduvi seeks an Analytics Engineer to enhance our analytics infrastructure and build the next wave of data products. The role collaborates across departments to deliver data solutions, from financial trend insights to HRIS data modeling, with a hybrid schedule offering 2 days onsite and 3 days remote weekly from Canton, MA or Midtown Manhattan.

You will build SQL views and procedures, own end-to-end projects, and work with engineering to guide data modeling decisions.

Qualifications

• 1-3 years in an Analytics-focused role developing data products.
• Experience in a customer-facing role, working with technical and business stakeholders.
• Experience using Excel to tell a story with data.
• Ability to take a complex data project from beginning to end, including requirement gathering, development, quality assurance, and end-communication.
• Collaborative team member who can work with engineers, analysts, business-users, and executives alike.
• Experience with Tableau and/or other Business Intelligence software a plus.
• Experience with Healthcare data a strong plus.

Responsibilities

• Work directly with business stakeholders to understand their needs and deliver data product solutions
• 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
• 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

Skills

Analytics

Customer-facing

Excel storytelling

Team collaboration

Tools

Tableau

Job description

Meduvi seeks an Analytics Engineer to enhance our analytics infrastructure and build the next wave of data products. The role collaborates across departments to deliver data solutions, from financial trend insights to HRIS data modeling, with a hybrid schedule offering 2 days onsite and 3 days remote weekly from Canton, MA or Midtown Manhattan.

You will build SQL views and procedures, own end-to-end projects, and work with engineering to guide data modeling decisions.