Data Analyst

Narayana Health (NH)

Bengaluru

On-site

INR 900,000 - 1,500,000

Full time

8 days ago
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Job summary

Narayana Health, with Medha AI, is seeking a data analytics professional to drive business insights and AI-enabled automation from Bengaluru. You will build dashboards, models, and KPIs, collaborating with product teams to shape analytics outcomes. Strong SQL, Python, and BI skills are essential.

Ideal candidates have 2–5 years of experience, a BE/BTech in CS/Data Science, and a passion for applying AI to healthcare analytics, with on-site work in Electronic City Phase 1, Bengaluru.

Qualifications

  • Understand analytical requirements from product managers and translate into problems and deliverables.
  • Experience turning data into actionable business insights and KPIs.
  • Proactive in applying AI-driven automation opportunities.

Responsibilities

  • Ideate and refine models, build dashboards and reports for multiple verticals.
  • Develop AI agents/bots to automate analytics workflows and reporting.
  • Collaborate with product managers to tailor analytics requirements and outcomes.
  • Stay updated on new analytics and AI tooling and apply them where beneficial.
  • Perform with initiative and deliver creative data-driven solutions.

Skills

Business analysis
Analytical thinking
Cross-functional teamwork
Communication
Problem solving

Education

B.E./B.Tech in CS/Statistics/Data Science

Tools

SQL
Python
Power BI
Git/Azure DevOps

Job description

Important Note:
  • This role is open only to candidates who are available to attend a Face-to-Face Interview at our HSR Layout office on Wednesday, 16 September 2026
  • If your profile is shortlisted, an interview invitation will be sent to your registered email ID with the complete office address and interview details.
  • All technical rounds of the interview will be completed on the same day.
About Narayana Health:

Narayana Health is headquartered in Bengaluru, India, and operates a network of hospitals in India and Overseas. Our mission is to deliver high-quality, affordable healthcare services to the broader population. Narayana Health Group is Indias leading healthcare provider and one of the largest hospital groups in the country, with a network of 21 hospitals, 5 heart centres, and 19 primary care facilities. The NH group treats over 2.6 Million patients every year from over 78 countries, covering 30+ medical specialities.Our Centers of Excellence help in treating Adult & Pediatric patients, and we have one of the largest transplant centers in India. We have a strong presence across 17 locations in India, and an overseas hospital in the Cayman Islands, USA. Two of our hospitals have international accreditation from the Joint Commission International (JCI), and 19 hospitals have domestic accreditation from the National Accreditation Board for Hospitals (NABH).For more details, please refer to our website at: https://www.narayanahealth.org


About Medha AI:

Medha is the Advanced Analytics & AI arm of Narayana Health, focused on transforming healthcare through data, intelligence, and thoughtfully designed digital products. Our mission is to simplify decision-making across hospitals, clinics, and care teams by bringing clarity, precision, and actionability to every layer of healthcare operations.Our products power large health systems, influence mission-critical workflows, and support clinical and non-clinical teams in delivering safer, faster, and more coordinated care.

For more details, please refer to our website at https://www.medha-analytics.ai/


Why Join Medha:
  • Shape next-generation healthcare intelligence products that drive decisions for clinicians, operations leaders, and frontline care teams.
  • Own and influence multi-product roadmaps from day one, working at the intersection of clinical insight and technology.
  • Solve real, high-impact problems every product you build directly supports patient outcomes, operational efficiency, and healthcare quality.
  • Collaborate in a vision-led, cross-functional environment alongside Engineering, Design, Data, and Clinical domain experts.
  • Grow fast in a team that values ownership, analytical rigour, and user empathy equally.

Job Purpose:
  • To ensure that the business in its various departments understands its own health, finds growth levers, and identifies opportunities for optimization.
  • To lead the business through all efforts that drive business performance and potential by using existing and new data sources, tools, and techniques including AI agents, bots, and automation, alongside data platforms and analytics.

Job Responsibilities:
Analytics & Dashboarding:
  • Ideate and continuously refine comprehensive models, and help construct dashboards and reports for various verticals.
  • Build comprehensive models to identify and track key levers of business performance.
  • Design visuals to effectively represent data models and analyses, providing a clear structure for decision-making.
  • Translate analytical requirements shared by Product Managers into structured analytical frameworks, models, and well-defined KPIs/metrics.
  • Apply statistical and predictive techniques (e.g., forecasting, anomaly detection) where relevant to strengthen recommendations.
AI Agent & Bot Development:
  • Design, build, and deploy conversational and non-conversational AI agents/bots to automate business processes, analytics workflows, and reporting this is a significant and growing part of the role, not a peripheral one.
  • Identify opportunities for AI-driven automation across the business and own their end-to-end implementation, from ideation through deployment and adoption.
  • Go beyond the assigned task proactively think about automations that can reduce delivery TAT and improve output quality.
Collaboration & Ongoing:
  • Collaborate closely with Product Managers who act as the bridge to the business to understand the analytical requirements, tracked metrics, and expected outcomes for each vertical.
  • Stay current with emerging analytics, data, and AI tooling, and evaluate opportunities to apply them to business problems.
  • Perform with a wide degree of latitude on creative solutions.

Candidate Requirements:
Education:

B.E. / B.Tech in Computer Science, Statistics, Data Science, or a related quantitative field.

Experience:

2 - 5 years

Work Location: Electronic City Phase 1, Bengaluru
Key Skills:
  • Strong business analysis skills able to work with the analytical requirements shared by Product Managers and translate them into clear analytical problems and deliverables.
  • Good aptitude and strong logical/analytical reasoning able to break down complex, ambiguous problems methodically and think structurally.
  • Ability to think strategically, handle ambiguity, and work in a fast-paced, limited-structure, multicultural environment.
  • Proven ability to operate independently, multitask, and set and achieve targets with limited guidance, with demonstrated creative thinking about major challenges faced.
  • Detail-oriented with strong organizational skills.
  • Ability to work in cross-functional teams.
  • Good written and verbal communication skills.
  • Curiosity and adaptability to quickly learn and adopt new data, analytics, and AI tools as the team's tech stack evolves, along with a proactive mindset toward finding AI-driven automation opportunities.

Technical Skills:
  • SQL or another query language is a must, including comfort querying large-scale / distributed data platforms (e.g., Trino/Presto, Spark SQL) in addition to traditional relational databases.
  • Strong Python skills for data analysis and automation (e.g., pandas, numpy), with the ability to write clean, reusable scripts.
  • Working knowledge of AI/GenAI tools and automation for analytics e.g., LLM-based copilots for querying data, prompt-driven analysis, AI agents, or workflow automation for recurring reports and insight generation.
  • Experience building conversational (chatbots, voice/text assistants) and non-conversational (rule- or workflow-based) bots/automation solutions is a plus.
  • Exposure to statistical or machine learning techniques (forecasting, regression, clustering, anomaly detection) is a strong plus.
  • Familiarity with version control and collaborative development tools (e.g., Git, Azure DevOps) is a plus.
  • Experience with a visualization / BI tool such as Power BI, Tableau, or Qlik, and comfort working with modern, custom-built dashboarding and BI platforms.
  • Strong Excel skills, including advanced formulas, pivot tables, and data modeling.
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