Website Traya Health

Pioneers in holistic hair loss solutions, our doctor-prescribed treatment plan combats hair loss up to stage 4.

Location: Mumbai, Maharashtra (Work From Office – Malad)
Job Type: Full-time, On-site
Category: Data Analytics / HealthTech / Startup Careers
Company: Traya Health

About Traya Health

Traya Health is a rapidly growing Indian HealthTech startup and direct-to-consumer (D2C) hair care platform focused on solving hair loss with personalized, science-backed solutions. Combining Ayurveda, Allopathy, and Nutrition, Traya stands apart by diagnosing the root cause of hair fall and delivering customized treatment kits directly to customers. Our proprietary tech and medically trained hair coaches provide end-to-end guidance throughout each customer’s hair growth journey.

Founded by Saloni Anand and Altaf Saiyed (Stanford Business School alumnus), Traya was built with a global vision: to raise awareness about hair loss, remove social stigma, and provide empathetic, effective care backed by data and diagnostics.

At Traya, data-driven decision-making is core to how we operate — from improving product performance to optimizing customer journeys. We are now looking for a Data Analyst to elevate our analytics capabilities and influence strategic decisions across departments.

Role Overview: Data Analyst

As a Data Analyst at Traya Health, you will be responsible for turning raw data into meaningful insights that help shape business strategy, product improvements, and operational excellence. You will work in a collaborative, fast-paced startup environment alongside product, marketing, and business teams.

This is an on-site role based in our Malad (Mumbai) office and offers a unique opportunity to contribute to real-world decisions that impact our customers and growth trajectory.

Key Responsibilities

1. Data Analysis & Reporting

  • Extract, clean, and analyse data from multiple sources using SQL and Python.

  • Use Python libraries such as Pandas, NumPy, and Seaborn to perform exploratory data analysis, build models, and visualize trends.

  • Build dashboards and automated reports to inform business leaders and teams.

  • Identify patterns, trends, and outliers to deliver actionable business insights.

2. Stakeholder Engagement

  • Partner with cross-functional teams — including product, operations, marketing, and customer success — to understand their analytical needs.

  • Translate business questions into technical requirements and analytical solutions.

  • Support decision-making by providing timely, high-quality data outputs.

3. Communication & Presentation

  • Present complex analytical results clearly and concisely.

  • Deliver insights to diverse audiences, including technical and non-technical stakeholders.

  • Prepare visualizations and presentations that tell a compelling data story.

4. Problem Solving & Process Improvement

  • Use structured reasoning to solve complex analytical problems.

  • Continuously refine existing processes and analytical workflows.

  • Drive data quality improvements and help establish best practices across analytics.

Required Skills & Qualifications

Technical Skills

  • Proficiency in SQL for data extraction, data manipulation, and complex querying.

  • Strong hands-on experience with Python libraries: Pandas, NumPy, and Seaborn.

  • Comfortable handling large datasets and performing in-depth quantitative analysis.

Analytical & Reasoning Skills

  • Exceptional analytical thinking and problem-solving ability.

  • Keen attention to detail with the capacity to interpret data accurately.

  • Ability to draw meaningful business insights from numbers.

Communication Skills

  • Excellent verbal and written communication skills.

  • Ability to explain analytical concepts clearly to various stakeholders.

  • Strong presentation skills with an emphasis on clarity and business relevance.

Interpersonal Skills

  • Experience working with diverse stakeholders.

  • Ability to collaborate effectively within a fast-paced and evolving startup environment.

Why Join Traya Health?

  • Growth-Driven Startup Culture: Work in a fast-paced, innovative environment where your work directly impacts business outcomes.

  • Meaningful Work: Influence decisions that help transform how hair loss is understood and treated.

  • Collaborative Team: Join a team that values curiosity, collaboration, and shared success.

  • Career Development: Opportunities to build analytical expertise and grow your professional career.

  • Data-Led Organisation: Be part of a company that prioritizes analytics in shaping strategy and execution.

Equal Opportunity Employer

Traya Health is committed to creating an inclusive workplace that welcomes diverse perspectives. We provide equal employment opportunities to all applicants and employees, regardless of race, colour, religion, gender identity, sexual orientation, national origin, disability, age, veteran status, or any other legally protected characteristic.

Apply Today

Are you ready to take your analytics career to the next level? Apply for the Data Analyst role in Mumbai and contribute to a mission-driven company where your insights matter.

👇 Click here to apply.

Upload your CV/resume or any other relevant file. Max. file size: 2 GB.