Data Analytics Intern at Ketto, Mumbai

About the Company 

Ketto is Asia’s largest tech enabled crowdfunding platform with a vision – Healthcare for all. We are a profit-making organization with a valuation of more than 3 Billion USD. With over 1,100 crores raised from more than 60 lakh donors we have positively impacted the lives of 2 lakhs+ campaigners. Ketto has embarked on a high-growth journey, and we would like you to be part of our family, helping us to create large-scale impact on a daily basis by taking our product to the next level.

Introduction

The Data Team is the lifeline of Ketto. It powers all business verticals with data-backed insights to fuel innovation, helping Ketto bring together thousands of change makers to achieve healthcare-for-all in India. As part of the data team, you will work with exceptional colleagues with diverse backgrounds and get exposure to end-to-end business operations at Ketto, while developing deep expertise in your area – Product, Marketing, Business & Technology. We are data evangelists who truly believe in the power of data to transform businesses. Be it business intelligence, data engineering, or machine learning, we encourage our team members to push boundaries and deliver start-of-art data products and solutions.

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Responsibilities:

1. Leverage SQL/Python and visualization tools such as Metabase/Tableau to mine massive datasets to deliver data-backed insights
2. Build and maintain KPI tracking dashboards to measure the effectiveness of product/marketing/business strategies
3. Design A/B experiments, analyze results, and suggest improvements to Ketto’s products and services
4. Be part of key meetings and roadmap discussions to provide data-backed recommendations to shape Ketto’s strategy

What you bring to the table:

• Anyone with relevant skills/experience is encouraged to apply, irrespective of degree/qualification; no CGPA/grades cut-off
• Strong analytical and problem-solving skills to tackle open-ended business questions
• Ability to extract meaningful insights by mining structured and unstructured data
• Agile approach to building analytics solutions suited to a fast-paced startup environment
• Exceptional communication and interpersonal skills to collaborate with stakeholders across different teams
• Advanced knowledge of SQL; familiarity with data visualization tools such as Tableau/PowerBI/Looker
• Good to have: Knowledge of Python/R + basic understanding of statistical testing & machine learning concepts (regressions, decision trees, clustering

Perks and Benefits:

1. Attractive stipend on par with industry standards
2. Flexible and meritocratic work culture
3. Work environment aligned with diversity and inclusion parameters
4. Individual’s professional & personal growth via learning & development programs

How to Apply