This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Task & Process Mining Analyst based in India.
This is a remote contract prospect for a senior-level analyst focused on using process intelligence to improve complex healthcare claims operations. You will combine business analysis, process mining, task mining, and automation expertise to uncover how claims workflows operate in practice and identify opportunities for measurable improvement. The role covers claims adjudication, denial management, prior authorization, revenue cycle activities, and payer-provider interactions. Using tools such as UiPath Process Mining and Task Mining, you will analyze event data and user activity to uncover bottlenecks, rework, process variants, and compliance deviations. You will translate these findings into prioritized, ROI-backed automation opportunities that RPA and technology teams can implement. Success will require strong healthcare domain knowledge, analytical thinking, stakeholder engagement,



and the ability to connect process insights with business outcomes.
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Accountabilities:
Deploy and configure UiPath Process Mining to ingest event-log data from healthcare claims systems and reconstruct end-to-end process flows.
Use Task Mining to capture desktop-level interactions across claims intake, validation, adjudication, remittance, denial management, and related workflows.
Identify process variants, bottlenecks, rework loops, inefficiencies, and compliance deviations throughout the claims lifecycle.
Build and maintain process mining dashboards and conformance-checking models to monitor process performance over time.
Analyze healthcare claims workflows, including EDI 837/835 transactions, eligibility verification, prior authorization, claims submission, adjudication, remittance posting, denials, and appeals.
Map payer-provider interactions and identify root causes of denials, delays, manual work, an

📌 Task & Process Mining Analyst (India)
🏢 Jobgether
📍 India