Associate Consultant - Patient Analytics

Project Role: Associate Consultant / Consultant

Work Experience: 3-10 years

Work location: Bangalore/Gurgaon/Pune

Work Mode: Hybrid

Must Have Skills: Patient Analytics, US Healthcare

Job Summary

As a member of RWA Patient Analytics, you will be involved in analyzing longitudinal patient datasets & will help our clients in making fact-based decision. You will be working in close collaboration with different stakeholders, and RWA teams in across the globe.

Responsibilities

• Deliver value and high-quality service.
• Use efficient techniques on Longitudinal patient data, EMR data & claims datasets and generate meaningful insights.
• Support junior team members in their ramp up period and provide necessary support from data & analytical perspectives.
• Assist in the coordination of project start-up activities, creation of global programs, tracking spreadsheets, and other required documentation.
• Support in Blue-chip activities like automation, apply Lean techniques in projects and generate innovative ideas for the growth of CoE.

Qualification

• Require good analytical & problem-solving skills along with attention to detail.
• Knowledge and understanding of the programming and reporting processes and frameworks.
• Ability to draw algorithms to successfully transform transactional data to summarized data assets.
• Proficiency in SAS\Python\R & SQL. Candidate is expected to have knowledge of creating macros or reusable programming snippets.
• Active participation to generate ideas to create better and optimal solution of our analytical problems and be a Business or Technical subject matter expert .
• Team Management experience is a plus.
• Ability to successfully work together with a (“virtual”) team (including international teams as required) as well as independently.
• Effective time management to meet daily metrics and team objectives.
• Ability to manage competing priorities and flexibility to change.
• Business/operational skills that include customer focus, commitment to quality management, and problem solving.