Designation : Data Analyst

About Us :

Traya is an Indian direct-to-consumer hair care brand platform provides a holistic treatment for consumers dealing with hairloss.

The Company provides personalized consultations that help determine the root cause of hair fall among individuals, along with a range of hair care products that are curated from a combination of Ayurveda, Allopathy, and Nutrition. Traya's secret lies in the power of diagnosis.

Our unique platform diagnoses the patient's hair & health history, to identify the root cause behind hair fall and delivers customized hair kits to them right at their doorstep.

We have a strong adherence system in place via medically-trained hair coaches and proprietary tech, where we guide the customer across their hair growth journey, and help them stay on track.

Traya is founded by Saloni Anand, a techie-turned-marketeer and Altaf Saiyed, a Stanford Business School alumnus.

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