Senior Product Analyst

Date: Feb 7, 2023

Location: India Remote, IN

Company: Chargebee Technologies Private Limited

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,, 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, 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 Data Scientist, 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
We've noticed that the title "Data Scientist" represents various work across the industry. If you're more passionate about building machine learning (ML) or econometric models, please check out the Machine Learning roles on our career page!

Roles and Responsibilities:
Refine ambiguous questions and generate new hypotheses about the product and business through a deep understanding of the data, our customers, and our business
Design experiments and interpret the results to draw detailed and impactful conclusions.                              
Define how our teams measure success by developing Key Performance Indicators, Input /Output metrics, and other customers/business metrics in close partnership with product and other subject areas such as engineering, operations, and marketing. Collaborate with data scientists, BI teams, and engineers to build and improve the availability, integrity, accuracy, and reliability of data logging/telemetry, data pipelines, and reporting insights.


Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of product, growth, retention, and optimization initiatives.

Must Haves:  
● M.S. or Bachelor's degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. (If an M.S. degree, a minimum of 2+ years of industry experience is required, and if a Bachelor's degree, a minimum of 3+ years of industry experience as a Product Analyst, Data Scientist, or equivalent)
● Experience in at least one scripting language (SQL, Python, R, or SAS preferred)
● Basic understanding of experimental design (such as A/B experiments) and statistical methods
● Willingness to get your hands dirty with messy data to identify product opportunities and streamline data pipeline, automate and gain efficiency.
● Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
● Strong story-telling: Distill interesting and hard-to-find insights into a compelling, concise data story
● Experience with experimental design and statistical methods such as causal Inference.
● Strong judgment, critical thinking, and decision-making skills
● Ability to solve complex business problems that cross multiple product/project areas and teams
● Balance attention to detail with swift execution

Nice to haves:    
● Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Quantitative analysis, Machine Learning, or other quantitative fields.
● 5+ years of industry experience in consumer-facing product and data science
● Data Science or Product analytics experience in SaaS companies or the B2B fintech sector.

Want to know what it means to work for a company that genuinely cares about you? Check out just a few of the benefits we give our employees
i) Uncapped Leave Policy, Parental leave
ii) Accident, Life and medical insurance
iii) Employee assistance program for mental wellness
iv) Work from home allowance
v) Gratuity
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.