- Location
- Gurugram, Haryana
- Workplace
- Hybrid
- Type
- Full-time
- Seniority
- Manager
- Experience
- 5+ years
- Education
- Master
- Closing date
- Today
- Source
- ApplyToJob
Description
| NEOLYTIX Manager – Provider Analytics & Business Intelligence |
| LOCATION Gurugram (Hybrid, 3 days) | TYPE Full-Time | EXPERIENCE 5–7 Years | FUNCTION Analytics & Reporting |
About Neolytix
Neolytix 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 Role
You 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 Own
Provider Operations Analytics- RCM: AR aging, denial trends, first-pass resolution rates, payer performance, collections efficiency
- Credentialing and Enrollment: pipeline velocity, approval rates, turnaround benchmarks
- Patient Access: scheduling efficiency, referral conversion, access gap reporting
- Client-facing delivery — dashboards and reports that go directly to provider organization stakeholders
- ROAS and campaign performance across digital channels
- Lead funnel analytics, pipeline attribution, and conversion tracking
- Reputation metrics: review volume, sentiment trends, competitive positioning
- Marketing effectiveness reporting for internal leadership
- Internal business intelligence — reporting for HR, payroll, and operational leadership
- Usage, adoption, and operational analytics for InCredibly, our provider data intelligence platform
- Client-facing metrics embedded in the product — defining what gets measured and ensuring it holds up to scrutiny
- Partnering with the product team as the platform scales beyond its first external clients
Supporting the sales team with prospect-facing RCM analysis — AR aging reviews, denial pattern assessments, and collections opportunity sizing built from a prospective client’s 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 3–5 — 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 For
- 5 to 7 years of experience in analytics, BI, or reporting roles
- Hands-on Power BI skills — data modeling, DAX, row-level security, workspace governance, report performance optimization
- SQL as a working language — able to write queries, validate data, and understand what transformation models are doing
- Experience setting goals, conducting formal performance reviews, and evaluating direct reports
- Statistical comfort: trend analysis, period-over-period variance, cohort comparisons, basic forecasting
- Clear communicator — able to translate analytical findings for non-technical stakeholders and client teams
Healthcare or BPO analytics background is a strong plus. RCM domain knowledge specifically gives a meaningful head start. Marketing analytics experience is useful but secondary — if your background is primarily operational, the instincts transfer.
Comfort using AI tools as part of day-to-day workflow — for automated QA, code review, or anomaly detection — is a plus.
Educational Qualifications
Required: Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Information Systems, or BusinessPreferred: MBA or Master’s in Analytics, Information Systems, or a related field
Plus: Microsoft PL-300 Power BI Data Analyst Associate certification
Good to Have
These are genuinely optional:- Python at a working level — pandas, basic automation
- Familiarity with dbt or similar SQL transformation frameworks
- Exposure to Azure Data Services or any cloud BI stack
- Experience with reputation or review analytics platforms
Why Neolytix
Most BI professionals in large BPOs or GCCs spend years in a reporting factory — maintaining the same dashboards, waiting for someone above them to move before the scope changes.At Neolytix, this function is early in its build — the foundations exist, but the standards, tooling, and team shape are still being defined. The person in this role will have meaningful input into how the team is structured, what tools are adopted, and what quality looks like for our clients and our business. The work is visible. The problems are real. The scope grows with you.
How to Apply
Apply with your updated resume. Shortlisted candidates will be asked a brief set of screening questions before the first interview.Skills
PythonGoAzureSQLPandasData SciencePower BI
