Product Analyst

Product Analyst - II

About the job

About Chargebee :

Chargebee is a subscription billing and revenue management platform powering some of the fastest-growing brands around the world today, including Calendly, Hopin, Pret-a-Manger, Freshworks, Okta, Study.com, and others. Thousands of SaaS and subscription-first businesses process over billions of dollars in revenue every year through the Chargebee platform. Headquartered in San Francisco, USA, our 500+ team members work remotely throughout the world, including India, the Netherlands, Paris, Spain, Australia, and the USA.

Chargebee has raised over $480 million in capital and is funded by Accel, Sequoia, Tiger Global, Insight Partners, Steadview Capital, and Sapphire Ventures. And we’re on a mission to push the boundaries of subscription revenue operations. Not just ours, but every customer and prospective business on a recurring revenue model.

Job Summary :

The Chargebee Product Analytics team provides analytical insights and solutions for critical cross-company functions and processes that affect how we show up in the world for our customers, including SaaS Billing, Retention, Customer Focus, and Payments. As a Data Scientist, you can use your quantitative skill set, empathy towards customers, and collaborative spirit to work closely with Product, Ops, Marketing, Engineering, and Finance to provide data-driven insights. In addition, it will allow you to find new opportunities to take our product and business to the next level.

As a Product Analyst - II, you'll focus on the following :

• The analysis, manipulation, visualization of data, and data story-telling
• At times you shouldn't hesitate to do data engineering / ETL (extract-transform-load)
• Provide product or business insights and analytical strategy
• There will be an additional focus on the design and analysis of experiments, and pseudo-control techniques

Roles and Responsibilities :

Must Haves :

Nice to haves :

Technical Skillset :

SQL (Advanced) : Highly proficient in writing complex SQL queries for data extraction, manipulation, and analysis from various databases. This includes understanding different joins, subqueries, window functions, and optimization techniques.

Data Analysis & Interpretation : Strong ability to collect, clean, process, analyze, and interpret large and complex datasets to identify trends, patterns, anomalies, and root causes.

Statistical Analysis : Solid understanding of statistical concepts (hypothesis testing, regression, correlation, A / B testing, sampling distributions) and their application to product and business problems.

Programming (Python / R) : Proficiency in Python or R for data manipulation (Pandas / dplyr), statistical modeling, machine learning (scikit-learn, TensorFlow / PyTorch - depending on the data science depth), and automation of data tasks.

Data Visualization : Expertise in creating clear, compelling, and actionable dashboards and reports using tools like Tableau. Ability to tell a story with data.

A / B Testing & Experimentation : Experience in designing, executing, and analyzing A / B tests to measure the impact of product changes and new features. Understanding of experimental design principles.

Product Analytics Tools : Familiarity with product analytics platforms (e.g., Sentry, Pendo, Google Analytics, Splunk) for tracking user behavior, engagement, and feature adoption.

Business & Product Skills :

Soft Skills :

We are Globally Local

With a diverse team across four continents, and customers in over 60 countries, you get to work closely with a global perspective right from your own neighborhood.

We value Curiosity

We believe the next great idea might just be around the corner. Perhaps it’s that random thought you had ten minutes ago. We believe in creating an ecosystem that fosters a desire to seek out hard questions, and then figure out answers to them.

Customer! Customer! Customer!

Everything we do is driven towards enabling our customers’ growth. This means no matter what you do, you will always be adding real value to a real business problem. It’s a lot of responsibility, but also a lot of fun.