Product Analyst

Company Description: Essence Innovation builds an AI-powered health app designed around each individual, enabling users to manage medical records, access real-time health insights, and connect with global healthcare in one secure platform. The app keeps a complete medical history accessible and protected, giving users convenient control over their information. By putting ownership of medical data in the user's hands, Essence Innovation helps people make informed decisions and take charge of their well-being. The company focuses on using technology to simplify healthcare interactions and empower users through data-driven insights.

Job Description | Product Research & Competitive Intelligence

Department: Product Research & Strategy Reporting To: Director – Operations & Strategy (Sapna) Experience Required: 4–7 years, preferably in Digital Healthcare, HealthTech, AI-enabled Healthcare Products, or Medical Technology Location: Mohali Work Mode: Work from office

1. Role Overview

The Product Analyst at Essence Health will be responsible for conducting comprehensive market research, global competitive analysis, product feature benchmarking, and forecasting emerging healthcare technology trends.

The primary objective is to ensure Essence Health develops an innovative, AI-driven digital healthcare ecosystem that remains competitive with leading global HealthTech platforms.

The candidate must have strong experience in digital healthcare technology, AI-powered healthcare solutions, product research, and emerging medical technologies.

The role will work closely with the Director of Operations & Strategy, Product Research Team, Medical Research Team, AI/ML Engineering Team, and Technology Leadership.

2. Key Roles & Responsibilities

Responsibility Area

Detailed Responsibilities

Market Research & Intelligence

Conduct continuous research on global and Indian digital healthcare markets, patient expectations, healthcare technology adoption, and emerging business opportunities.

Competitive Product Analysis

Analyze leading healthcare platforms

Product Feature Benchmarking

Compare product features with competitors, identify functionality gaps, and recommend advanced features and user experience improvements.

Advanced Feature Forecasting

Forecast healthcare technology innovations and recommend future-ready product capabilities for the next 1–3 years.

AI Healthcare Innovation Research

Research AI symptom assessment, clinical decision-support tools, conversational AI, medical chatbots, predictive analytics, AI-powered care navigation, and personalized healthcare recommendations.

Product Roadmap Recommendations

Develop research-backed recommendations for short-term, medium-term, and long-term product feature roadmaps.

Healthcare User Research

Analyze requirements and pain points of patients, doctors, hospitals, laboratories, pharmacies, insurers, and other healthcare stakeholders.

Global HealthTech Trend Analysis

Monitor digital therapeutics, remote patient monitoring, wearable integration, preventive healthcare, interoperability, and AI-assisted diagnostics.

Product Feasibility & Prioritization

Evaluate proposed features based on customer demand, competitive differentiation, clinical safety, regulatory considerations, implementation feasibility, and business value.

Cross-Functional Collaboration

Work with AI/ML engineers, medical researchers, product designers, development teams, and business stakeholders to translate research into actionable product requirements.

. Required Skills & Qualifications

Essential experience

• 3–5 years of experience in healthcare product analysis, digital health product research, competitive intelligence, or HealthTech product strategy.
• Demonstrated experience working with AI-enabled healthcare products or evaluating AI/ML healthcare capabilities.
• Strong understanding of telemedicine, electronic health records, patient engagement, digital health platforms, and healthcare technology ecosystems.
• Experience conducting market research, competitor benchmarking, and feature gap analysis.
• Ability to prepare product requirement documents (PRDs), feature comparison matrices, market intelligence reports, and strategic product recommendations.
• Familiarity with healthcare data interoperability concepts such as FHIR/HL7, ABDM, and relevant healthcare privacy and regulatory frameworks.
• Strong analytical, presentation, and stakeholder communication skills.

Preferred qualifications

• Bachelor's or Master's degree in Healthcare Informatics, Biomedical Engineering, Computer Science, Healthcare Management, Business Analytics, or a related field.
• Experience with AI healthcare startups, digital health platforms, or healthcare SaaS products.
• Understanding of generative AI, LLMs, predictive analytics, and AI healthcare safety.
• Familiarity with Power BI, Tableau, Excel, SQL, Jira, and product analytics tools.