HealthRecon Connect provides technology-enabled Revenue Cycle Management solutions to US healthcare providers. The company leverages over 30 years of deep domain expertise, machine learning, AI, cutting-edge analytics, and automated workflows that help improve cash flow, patient outcomes and enable peace of mind for their clients. At HealthRecon Connect, day after day, we not only hold ourselves accountable for setting and maintaining high standards, but we also passionately strive for the highest achievement, customer delight and thrive on the challenge of high expectations and commitment to excel.
HealthRecon was certified a Great Workplace by Great Place to Work® Sri Lanka since 2018 and was adjudged one of the 40 Best Workplaces in Sri Lanka by Great Place to Work® Sri Lanka in 2021. We are also a participant of the United Nations Global Compact.
HRC Labs was established to lead the technological transformation of HealthRecon Connect (HRC). Propelled by the deep domain expertise and industry leading service capability of HRC, HRC Labs focus on enhancing the efficiency of healthcare delivery through intelligent automation solutions for healthcare providers. Our tools sustainably improve clients’ operating margins and cash flows by compressing their working capital cycle and reducing their administrative burden.
We are currently looking for a Data Analyst – Insights & Product Intelligence to join HRC focused on Revenue Cycle Management (RCM) technology automations and solutions. HRC offers you an open culture where we place importance on each individuals’ interest and learning path. We practice a flat team structure with individual ownership of projects and welcome professionals who are curious and quick on new skill acquisition.
Due to the large volume of applications we receive, all applications will be reviewed in the order in which they were received and only the candidates short-listed for the first round of interviews will be contacted. Thank you for your understanding.
Job Vacancy:
Data Analyst – Insights & Product Intelligence
Work Week:
Monday to Friday
Shift Window:
3:00 pm to 12:00 am SLST
Other Features:
Full-time
US calendar applicable
Responsibilities:
- Campaign & Conversion Analysis: Analyze patient payment campaigns across regions and demographics to identify high-impact levers for improving collection rates.
- Advanced Reporting & Dashboards: Build scalable, self-serve dashboards (Tableau/Power BI/Looker) that help internal teams make smarter, faster decisions.
- Feature & Product Intelligence: Collaborate with Product to surface insights that shape feature prioritization, UX flows, and payment behavior 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 behavior, geo trends, socio-economic factors etc.)
Qualifications/Criteria:
- Bachelor’s or Master’s degree in Statistics or Applied Mathematics or equivalent experience.
- 2 – 4 years of experience in data analysis, business intelligence, or analytics in tech, healthcare, or fintech.
- Proficiency in SQL, Excel, and one data visualization tool (Power BI is preferred).
- 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.
