Senior Associate, Analytics at Ensemble Health Partners, India

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

0.0

Posted On

27 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLMs, Gen AI, AI, ML, SQL, Advanced Excel, Python, Data Analysis, Problem-Solving, Communication, Data Manipulation, Root Cause Analysis, Process Mapping, KPI Development, Stakeholder Collaboration

Industry

Hospitals and Health Care

Description

Job Title : Senior Associate, Analytics (Data Scientist) Experience : 4-7 Years Job Location: Hyderabad, India (Hybrid) Company Overview: Ensemble Health Partners India is at the forefront of innovation in the Revenue Cycle Management (RCM) space, leveraging modern technology to drive meaningful, real world impact. Our future ready platforms bring together AI driven analytics, intelligent data ingestion, workflow automation, and business intelligence built on a scalable, cloud native architecture. Our AI powered solutions are actively running in production, continuously optimizing processes and delivering data driven insights at scale. With the second largest market share in the U.S. RCM industry, a global workforce of 15,000+ professionals, and 12 technology patents, we deliver results through strong teams, proven processes, and flexible, modern technologies. As part of our continued growth, we have launched our Global Capability Center (GCC) in Hyderabad designed to serve as a strategic extension of our global operations. The GCC brings together technology, analytics, and RCM expertise to build scalable solutions, accelerate innovation, and support our long term vision of transforming healthcare operations. At Ensemble Health Partners India, we foster a culture of growth, collaboration, and innovation where your expertise is valued, your ideas are heard, and your work makes a measurable impact. Position Overview: As Senior Associate – Analytics, you will play a critical role in analyzing and interpreting operational and transactional data to identify opportunities for improvement within the revenue cycle management process. You will collaborate with cross-functional teams, including operators, and other technology groups, to develop solutions based on LLMs/ Gen AI / AI / ML models that enhance revenue cycle performance. Roles & Responsibilities Build solutions using LLMs/ Gen AI / AI / ML. Conduct thorough analysis of healthcare revenue cycle processes, including patient registration, prior authorization, billing, coding, claims processing, payment posting, and AR follow up. Identify areas of inefficiency within the revenue cycle and develop data-driven recommendations for process improvement. Work on multiple work-streams including data manipulation, automation and analyzing large data sets to find useful relationships, trends and generate ideas that impact overall profitability of the business. Analyze data to create opportunity / impact estimates, detailed process maps, root cause analysis, identify and prioritize potential solution options, prioritize optimizations / automations Collaborate with stakeholders to brainstorm opportunities, gather and document business requirements. Perform in-depth data analysis to identify trends, patterns, and opportunities for revenue optimization and cost reduction. Prepare and present executive summaries to stakeholders, conveying complex data in a clear and actionable manner. Oversee and manage deliverables from other data analysts Develop performance metrics and KPIs to track revenue cycle performance and measure the effectiveness of proposed solutions. Collaborate with other technology teams to design, implement, and test technology solutions that enhance revenue cycle operations. Required Skills Strong experience in LLMs/ Gen AI / AI / ML Proficiency in data analysis tools and techniques, such as SQL, Advanced Excel, Python Excellent analytical skills with the ability to interpret complex data sets and derive meaningful insights. Strong problem-solving abilities, with a focus on identifying root causes and proposing effective solutions. Exceptional communication skills, both written and verbal, with the ability to effectively present complex information to stakeholders at various levels of the organization. Detail-oriented and highly organized, capable of managing multiple projects and priorities simultaneously. Ability to make effective independent decisions Why Join US? • Work on real-world healthcare and technology challenges, powered by emerging technologies and a strong innovation mindset. • Be part of a fast-growing, people-first organization where your work creates measurable impact. • Grow continuously with structured learning, certifications, and industry-recognized development programs. • Collaborate with high caliber teams that value ownership, trust, and accountability. • Grow alongside an organization that’s scaling with purpose and clarity. Be part of a fast scaling Global Capability Center with meaningful global responsibility. Benefits: • Comprehensive health insurance coverage for associate, kids (2) and parents supporting physical and financial well being beyond the workplace. • Accidental insurance coverage for the associate that adds an extra layer of security. • Professional development programs with reimbursement support to help you upskill and grow with confidence. • A workplace that is fully compliant with labor laws, including maternity and paternity benefits. • Thoughtful experiences like welcome kits, company swag, and work anniversary gifts that recognize your journey with us. • Benefits designed to support you at different stages of life and career, not just on day one.

Responsibilities

The Senior Associate will analyze and interpret operational and transactional data to find improvements within the revenue cycle management process, collaborating with cross-functional teams to develop solutions using LLMs/Gen AI/AI/ML models. Responsibilities include building solutions, conducting thorough analysis of healthcare revenue cycle processes, and generating data-driven recommendations for optimization and automation.