Business Data Analyst

About Us

Traya is an Indian direct-to-consumer hair care platform that provides a holistic treatment for individuals experiencing hair loss. Through personalized consultations, we identify the root cause of hair fall using a combination of Ayurveda, Allopathy, and Nutrition. Our unique diagnostic platform, combined with medically trained hair coaches and proprietary tech, ensures customers receive customized solutions delivered right to their doorstep — and the ongoing guidance they need to stay on track. Founded by Saloni Anand (techie-turned-marketeer) and Altaf Saiyed (Stanford GSB alumnus), Traya’s mission is to de-stigmatize hair loss, address its emotional and psychological impact, and make effective treatment accessible to all.

Our Vision

We aim to create a global awareness movement around hair loss while delivering a scientifically proven, holistic solution that combines the best of three sciences.

Key Responsibilities:

1. Data Analysis and Reporting:

● Perform data analysis using SQL, Pandas, Numpy, and Seaborn.

● Generate reports and dashboards to support business decision-making.

● Identify trends, patterns, and anomalies in data to provide actionable insights.

2. Stakeholder Management:

● Workclosely with different stakeholders and understand their data requirements

● Translate business requirements into technical specifications and deliver results that meet stakeholder expectations.

3. Communication and Presentation:

● Communicate complex data insights in a clear and concise manner to both technical and non-technical audiences.

● Prepare and present detailed reports, visualisations, and presentations to stakeholders.

4. Problem-Solving:

● Utilise strong reasoning skills to tackle complex problems and provide data-driven solutions.

● Continuously seek opportunities to improve processes and contribute to the team’s success.

Requirements:

1. Technical Skills:

● Proficiency in SQL for data extraction and manipulation.

● Hands-on experience with Python libraries such as Pandas, Numpy, and Seaborn.

● Ability to handle large datasets and perform complex data analysis.

2. Communication Skills:

● Excellent verbal and written communication skills.

● Ability to articulate insights and recommendations clearly to various stakeholders.

3. Analytical Skills:

● Strong reasoning and analytical skills to interpret data accurately.

● Excellent presentation skills to effectively convey data findings.

4. Interpersonal Skills:

● Experience dealing directly with stakeholders.

● Ability to work collaboratively in a fast-paced environment.

Why Join Us:

● Opportunity to work in a fast-growing startup environment.

● Bepart of a team that values data-driven decision-making.

● Acollaborative and inclusive work culture that encourages innovation.

● Professional development opportunities and career growth