Revenue Operations Analyst

Overview: Dozee Health AI is a pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive transformation at scale. Headquartered in Bengaluru, India, Dozee has emerged as India’s no. 1 RPM Company.

We are seeking visionary individuals to help us in this very exciting journey. As a part of our dynamic team, you’ll have the opportunity to collaborate with top healthcare providers in the country, applying AI-powered RPM solutions to tackle some of the most pressing challenges in healthcare - enhancing staff efficiency, improving patient outcomes, and pioneering the next generation of care models.

Role Overview:

The RevOps Analyst is a highly technical, deeply analytical, and critical role driving the financial and operational health of our US Remote Patient Monitoring (RPM) programs. You will sit at the intersection of data, revenue billing, and insurance operations, ensuring our revenue engine runs flawlessly.

We are looking for an analytical powerhouse who is fiercely autonomous. This is not a role for someone who needs constant direction; we need a proactive self-starter who can take a high-level problem, dive into the data using SQL, Excel and Python, and build a scalable solution from scratch. You will own the end-to-end revenue billing workflows, act as the definitive source of truth for RPM metrics, and continuously optimize our revenue cycle as we scale across the US market.

Responsibilities

Revenue & Billing Operations:

Own the end-to-end RPM program: tracking, reporting, and continuous improvement of revenue billing and insurance operations workflows.

Manage billing cycles, revenue reconciliation, and invoice accuracy across customer accounts.

Coordinate with insurance partners and internal stakeholders to ensure claims, authorizations, and reimbursements are processed accurately and on time.

Identify bottlenecks and inefficiencies in billing and insurance workflows; propose and implement automated or process-driven solutions.

Data & Analytics:

Build, maintain, and automate dashboards and reports to track key RPM metrics (collection rates, denial rates, billing cycle time, etc.) using SQL, Python, and BI tools.

Extract and manipulate large datasets to uncover revenue leakages and provide actionable insights to leadership.

Cross-Functional Collaboration & Compliance:

Serve as the primary point of contact for cross-functional questions related to revenue billing and insurance operations.

Ensure compliance with US payer guidelines, billing codes, and relevant regulatory requirements.

Support financial audits and documentation needs as the company scales

Requirements

Experience: 2–4 years of experience in revenue operations, billing, insurance operations, or business/data analytics.

Technical Proficiency: Strong command of SQL and Python for data extraction, manipulation, and advanced revenue analytics. Highly proficient in advanced spreadsheets (Excel/Google Sheets) and BI tools.

Autonomy & Drive: Extreme ownership mentality. You are a proactive self-starter who thrives in ambiguity, moves fast, and executes with minimal hand-holding.

Industry Knowledge: Familiarity with US revenue cycle management (RCM) concepts.

Systems Experience: Experience working with modern billing platforms, CRM systems, or practice management systems.

Attention to Detail: Meticulous attention to detail and high comfort level with complex financial data reconciliation.

Communication: Ability to communicate complex data clearly with clinical, technical, and non-technical stakeholders across different geographies.

Experience with US insurance claims processing, payer contracting, or prior authorizations.

Background in health tech, insurance tech, or a similarly regulated healthcare industry.

Experience building operational processes and data pipelines from scratch at an early-stage company.

Knowledge of denial management and appeals workflows

Vision & Mission

Save Million lives with Health AI

Dozee is India’s leading AI-Powered contactless Remote Patient Monitoring (RPM) and Early Warning System (EWS). A solution that continuously monitors patients and provides early warnings of clinical deterioration, enabling timely interventions and enhancing patient safety in hospitals, nursing facilities and patient homes. A "Made in India for the World" solution, Dozee has pioneered the world’s first non-contact blood pressure monitoring system. Trusted by leading healthcare providers in India, the USA, and Africa, Dozee is transforming patient safety and care by enhancing outcomes and reducing costs.

Dozee is adopted by 300+ hospitals and monitors 16000+ beds across 4 countries. Dozee has monitored over 1 Mn Patients, Delivered 35000+ Life Saving Alerts and Saved 10 Mn+ Nursing Hours.

Videos

Science Behind Dozee : Ballistocardiography & Artificial Intelligence

- 100 Dozee deliver 144 life saving alerts and INR 2.7 Cr of saving - Sattva Study

Dozee saves life of a mother at home

Leading Healthcare Game changers work with DozeeI

Introducing Dozee VS

- Dozee Shravan - A clinical grade RPM service

Dozee in News:

Bloomberg - Oct 21, 2024

From AI Beds to Remote ICUs, Startups are plugging India's health Gaps

News18Oct 26, 2024

Now, You Can Remotely Monitor Your Loved Ones in Hospital With Bengaluru Start-Up's 'Shravan'

Analytics India MagazineOct 29, 2024

Dozee Harness AI for Personalised Patient Care

ET HealthWorldSep 16, 2024

We trust AI everyday - From Google Maps to Smartphones, So why not use it to enhance patient safety in healthcare?

BW healthcareworldOct 29, 2024

Dozee's AI-Powered System Predicts Patient Deterioration 16 Hours in Advance

A tertiary care hospital study published in JMIR, validated Dozee’s Early Warning System (EWS), showing it identified 97% of deteriorating patients, provided alerts ~19 hours in advance, and generated 5x fewer alerts, reducing alarm fatigue and improving patient outcomes.

A study at King George Medical University, Lucknow, and published in Frontiers in Medical Technology demonstrated that Dozee’s automation can potentially save 2.5 hours of nursing time per shift, improving workflow efficiency and allowing more focus on patient care.

A study on remote patient monitoring in general wards published in Cureus found that 90%+ of healthcare providers reported improved care and patient safety, 74% of patients felt safer, and there was a 43% increase in time for direct patient care.

Research by Sattva, an independent consulting firm, demonstrates Dozee's substantial impact: for every 100 Dozee-connected beds, it can save approximately 144 lives, reduce nurses’ time for vital checks by 80%, and decrease ICU average length of stay by 1.3 days.

Key Highlights

Founded : October, 2015

Founders : Mudit Dandwate, Gaurav Parchani

Headquarters : Bangalore, India \u007C Houston, USA \u007C Dubai, UAE

Key Investors & Backers : Prime Ventures, 3one4 Capital, YourNest Capital, Gokul Rajaram, BIRAC (Department of Biotechnology, State Bank of India, and Dinesh Mody Ventures, Temasek Foundation, Horizons Ventures

Stage : Series A+

Team Strength : 280+

Business : Providing Continuum of care with AI-powered contactless Remote Patient Monitoring (RPM) and Early Warning System (EWS) for Hospitals and Home.

Certifications & Accreditations : ISO13485:2016 Certified, ISO27001:2022 Certified, CDSCO Registered, FDA510K Cleared for the flagship product Dozee Vitals Signs (VS) measurement system and SOC2 Type II Certified

Achievements:

Forbes India 30 under 30

Forbes Asia 100 to Watch

- Times Network - India Health Awards 2024 for AI innovation in Bharat Healthcare tech

BML Munjal Award for Business Excellence using Learning and Development

FICCI Digital Innovation in Healthcare Award

Anjani Mashelkar Inclusive Innovation Award Marico Innovation For India Award.

To know more about life@dozee, click here.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.