The Company

We offer state-of-the-art, cloud-ready Revenue Cycle Management Solutions to US healthcare providers. Leveraging over 30 years of deep domain expertise, machine learning, AI, cutting-edge analytics, and automated workflows we strive to improve cash flow, patient outcomes and enable peace of mind for healthcare professionals enabling them to focus on what they do best— providing top-quality patient care.

We are at the heart of the Healthcare Provider, always striving to offer on-demand solutions for challenges in driving quality patient outcomes while managing through ongoing increases in cost, declining revenue, increasing complexity in regulatory and compliance frameworks, administrative and HR challenges and declining patient interaction etc. We leverage the best practices based on domain expertise in other International Healthcare systems; experienced and globally distributed team and compliant, benchmark defining processes to offer back-office services and solutions that drive more cash flow, eliminate HR and Administrative burdens and increase patient focus that help providers manage their practices with more ease and peace of mind.

Broad Areas of Responsibility

• Advanced Reporting & Dashboards: Build scalable, self-serve dashboards (Tableau/Power BI/Looker) that help internal teams make smarter, faster decisions.
• Campaign & Conversion Analysis: Analyze patient payment campaigns across regions and demographics to identify high-impact levers for improving collection rates.
• Feature & Product Intelligence: Collaborate with Product to surface insights that shape feature prioritization, UX flows, and payment behaviour modeling.
• Customer Account Analytics: Partner with Customer Success to generate hospital-level reports and identify upsell/retention opportunities using usage and impact metrics.
• Operational Analytics: Identify inefficiencies or gaps in patient outreach, discount utilization, and payment workflows through root-cause and cohort analysis.
• Insights Development: Develop early-stage predictive models (e.g., patient propensity to pay) and simulate impact of product or campaign changes.
• Launch 3+ key dashboards driving decisions across product, operations, and customer teams
• Deliver 2–3 strategic insight reports per quarter that influence roadmap or campaign strategy
• Establish a data framework for customer-specific campaign performance and discount efficacy
• Prototype 1–2 predictive models or segmentation schemes (e.g. guarantor behaviour, geo trends, socio-economic factors etc.)

Person Profile

• Bachelor’s degree in computer science, Information Systems, or a related field. Master’s degree preferred.
• Bachelor's or master’s degree in Statistics or Applied Mathematics or equivalent experience
• 4+ years of experience in data analysis, business intelligence, or analytics in tech, healthcare, or fintech
• Minimum 3+ years’ experience using Power BI.
• Proficiency in SQL, Excel, and one data visualization tool.
• Familiarity with Python/R for data wrangling or model prototyping
• Exposure to healthcare data (claims, billing, EMR, HL7/FHIR) is a big plus
• Strong communication skills—able to turn data into clear, actionable insights
• Entrepreneurial mindset and eagerness to learn and scale.
• Experience in SaaS or digital health.
• Knowledge of A/B testing, cohort analysis, and customer segmentation.
• Interest in progressing into a Data Science or Product Analytics leadership role.

Shift (SL time)

• Straddle 3:00 PM – 12:00 PM

Work Week

• Monday to Friday

Other Features

• Full-time
• US calendar applicable

Benefits

• Great Remuneration 💰
• Flexible Work Arrangement 🏠
• Performance Bonus 🏦
• Private Health Insurance 🏥
• Accelerated Career Growth 📚
• Latest Tech Equipment 💻
• International Exposure 🚀
• Exciting Company Events 🥳