Product Data Analyst

Neuroglia Health Private Limited (NHPL) — A Part of M3, Inc., Japan

M3, Inc. is a global healthcare leader based in Tokyo, trusted by 4+ million doctors across 9 countries. Since 2019, Neuroglia Health Private Limited (NHPL) has been part of M3's global ecosystem, building technology-driven platforms at a massive scale for doctors and medical students in India, with a clear mission of building better doctors.

Our flagship product, Marrow, is one of the most trusted learning platforms for doctors — operating at a scale few education companies ever reach: millions of learners, petabytes of high-quality learning data, and 500+ million hours of video streamed through a system as complex and secure as leading global streaming platforms. Our infrastructure powers learning for hundreds of thousands of doctors daily, with a strong focus on performance, reliability, and security.

Under NHPL, we also operate DBMCI One — a powerful hybrid learning platform that brings decades of DBMCI's trusted medical coaching legacy into a scalable digital ecosystem, blending top faculty expertise with structured digital learning, live and recorded sessions, high-yield notes, and exam-focused preparation tools to enable aspirants across India to access proven teaching excellence anytime, anywhere.

We are a self-funded, EBITDA-positive organization with strong cash reserves, built on financial discipline and sustainable growth. We believe in long-term value creation over short-term hype, and remain deeply committed to our mission of building better doctors.

Together with Marrow, it strengthens our mission of building better doctors through technology, scale, and academic rigor.

Watch our story: Marrow Brand Video and know more about us here.

Product Data Analyst

What would you be doing here

As a Product Data Analyst, you'll be the go-to data partner for our Product organization. You'll collaborate closely with Product Managers, Engineers, Marketing, and Business teams to build trusted metrics, enable self-serve analytics, and uncover insights that drive product decisions.

Drive data across the organization:

• Be the primary point of contact for data requests across Product, Marketing, and Business teams, managing priorities and delivering timely insights.
• Write efficient, complex SQL queries on ClickHouse to answer both ad-hoc and recurring business questions.
• Translate ambiguous stakeholder requests into scalable queries, intuitive dashboards, and self-serve analytics.
• Automate reporting and data workflows to improve efficiency and enable self-serve analytics.
• Present insights clearly to both technical and non-technical stakeholders, enabling data-driven decisions.

Build trusted metrics:

• Own KPI dashboards that provide an accurate, real-time view of product and business performance.
• Maintain a single source of truth for key product metrics, ensuring consistency, reliability, and accuracy across teams.
• Set up scheduled reports, alerts, and role-based access (RBAC) so the right stakeholders have access to the right data at the right time.

Shape product decisions:

• Partner with Product Managers to define success metrics and measure the impact of new features.
• Perform deep dives into user adoption, engagement, retention, cohorts, and conversion funnels to uncover meaningful insights.
• Identify trends, anomalies, and opportunities that influence product strategy and improve user experience.

The Best-Fit Candidate Would Have:

• 2–3 years of experience as a Product Analyst or Data Analyst in a product-driven environment.
• Strong SQL expertise with hands-on experience in CTEs, Window Functions, query optimization, and complex analytical queries.
• Experience working with columnar databases such as ClickHouse, BigQuery, Redshift, or similar.
• Hands-on experience building BI dashboards using Superset, Tableau, Power BI, or Looker (including RBAC configuration), with a strong understanding of product analytics concepts such as funnels, cohorts, retention, engagement, and feature adoption.
• Experience working with event analytics platforms such as Mixpanel, CleverTap, or similar.
• Experience automating recurring reports and building scalable data workflows.
• Strong stakeholder management and communication skills, with the ability to influence decisions through clear, data-driven storytelling.
• A proactive, ownership-driven mindset with a passion for solving product problems through data.