Details:

Zeno Health (formerly Generico) is dedicated to changing the way India buys medicines. We are building
India’s largest chain of generic medicine retail stores with the aim of providing affordable healthcare to
millions. We believe that generic medicines are the key to changing the way the medical landscape in
India works by providing more choice to consumers at costs that are up to 80% lower than those of
branded medicines.
Founded by IIT Bombay alumni, Zeno Health is already funded by a leading VC firm and has grown to 90
stores with a target to reach 160 stores - Mumbai, Pune, Surat - by March 2022.

We are looking to add a data analysis and reporting expert to join our growing team. You will be primarily
responsible for developing products using tools such as Python & Tableau. This includes consultation with
leadership, stakeholders, and other end users to provide insights and create actionable, intuitive dashboards.

Min. Qualification:

• Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience
• 1 - 2 years' Data Analysis experience
• Proficient in Python & Tableau

Skills Required:

Python, Tableau, SQL, ETL, Data Manipulation

Roles:

As a Data Analyst

• your work will change healthcare delivery in India impacting millions of patients in India.
• you will be working on stimulating industry-first solutions with diverse team members.
Requirements:
• Python: Experience in data manipulation/analysis using Pandas/Numpy/other libraries.
• Tableau: 3+ years of professional experience in building dynamic and responsive dashboards.
• SQL: Strong skills in writing complicated yet efficient SQL queries.
• Data manipulation: Proven experience in handling large volumes of data including data extraction, and
data transformation.
• Familiarity working with any RDBMS or preferably MySQL, Redshift.
• Good at MS Excel.

Responsibilities:
• Provide in depth analysis, discovery, investigation and visualization of data to build reporting solutions
which support various company initiatives.
• Develop a comprehensive understanding of data and –
• Create queries and improve existing queries
• Manage data transformation to enable short and long-term analytics and reporting
• Manipulate and analyse complex, high-volume, high-dimensionality data.
• Partner with various stakeholders – Operations, Stores, Marketing – within company to improve
process efficiency.
• Managing ambiguity and reacting quickly to changing priorities even when not all the information is
available.