Manager Provider Analytics & Business Intelligence

NEOLYTIX Manager Provider Analytics & Business Intelligence LOCATION Gurugram (Hybrid, 3 days)TYPE Full-TimeEXPERIENCE 57 YearsFUNCTION Analytics & ReportingAbout NeolytixNeolytix is a healthcare managed services organization (MSO) serving 270+ provider organizations across the US, with delivery teams in Chicago, Gurugram, and Manila. We work across Revenue Cycle Management, credentialing and enrollment, patient access, and healthcare technology. Analytics is increasingly central to how we deliver for clients and we are building this function out seriously.About the RoleYou will lead the analytics function that covers the full provider operations lifecycle. On one side: RCM, credentialing, enrollment, and patient access metrics that go directly to client stakeholders and drive how provider organizations understand their own performance. On the other: marketing effectiveness, ROAS, lead funnel, and reputation analytics for our internal commercial team. The scope also includes product analytics for InCredibly our provider data intelligence platform business intelligence for internal functions such as HR and payroll, and pre-sales RCM analysis that helps prospective clients see the opportunity in their own data. You will manage a small, mixed team BI analysts and an analytics engineer own delivery quality end-to-end, and build a QA system that catches errors systematically rather than relying on manual review alone. You will also work with the analytics engineer to ensure the data layer feeding all dashboards is clean, reliable, and not dependent on heroics every time a source changes. This is a player-coach role. You will stay close enough to the work to review a DAX measure, spot a misleading trend, or question whether a chart actually answers the question it was meant to answer. The role reports directly to the CEO. This is not a data science or decision analytics role. What it offers instead: genuine breadth across a complex healthcare services business, direct visibility into how analytics drives client outcomes, and real ownership of how a function gets built tools, standards, team structure, and all.What You Will OwnProvider Operations AnalyticsRCM: AR aging, denial trends, first-pass resolution rates, payer performance, collections efficiencyCredentialing and Enrollment: pipeline velocity, approval rates, turnaround benchmarksPatient Access: scheduling efficiency, referral conversion, access gap reportingClient-facing delivery dashboards and reports that go directly to provider organization stakeholdersBusiness and Marketing IntelligenceROAS and campaign performance across digital channelsLead funnel analytics, pipeline attribution, and conversion trackingReputation metrics: review volume, sentiment trends, competitive positioningMarketing effectiveness reporting for internal leadershipInternal business intelligence reporting for HR, payroll, and operational leadershipInCredibly Product AnalyticsUsage, adoption, and operational analytics for InCredibly, our provider data intelligence platformClient-facing metrics embedded in the product defining what gets measured and ensuring it holds up to scrutinyPartnering with the product team as the platform scales beyond its first external clientsPre-Sales RCM Analysis Supporting the sales team with prospect-facing RCM analysis AR aging reviews, denial pattern assessments, and collections opportunity sizing built from a prospective clients own data. These analyses shape the business case during the sales cycle, so both accuracy and turnaround matter. Data Layer and Engineering Oversight Working with your analytics engineer to build and maintain the SQL transformation models that power all dashboards. Ensuring data definitions are consistent, documented, and traceable. Reducing manual data wrangling so analysts spend time on analysis, not prep. The analytics engineer is the foundation getting clean, reliable data into Power BI is the prerequisite for everything else, and this role is structured to address that directly. Report Quality and QA Defining and enforcing quality standards across data accuracy, visual consistency, and narrative integrity. Building scalable QA processes automated checks, anomaly flagging, peer review protocols so quality is a system, not a manual effort. Using available tools, including AI where it makes sense, to catch errors before reports reach stakeholders. Team Management Managing and developing a growing team of 35 BI analysts and an analytics engineer. Setting goals, conducting performance reviews, and owning individual development. Translating business questions into clear analytical briefs and prioritizing work across multiple concurrent tracks.What We Are Looking For5 to 7 years of experience in analytics, BI, or reporting rolesHands-on Power BI skills data modeling, DAX, row-level security, workspace governance, report performance optimizationSQL as a working language able to write NEOLYTI