Product Analyst

Product Analyst - II

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.Headquartered in San Francisco, USA, our 500+ team members work remotely throughout the world, including India, the Netherlands, Paris, Spain, Australia, and the USA.

And we're on a mission to push the boundaries of subscription revenue operations. 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. 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)

● There will be an additional focus on the design and analysis of experiments, and pseudo-control techniques

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.

S. or Bachelor's degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. (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)

● 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

● Distill interesting and hard-to-find insights into a compelling, concise data story

● Experience with experimental design and statistical methods such as causal Inference.

● Ability to solve complex business problems that cross multiple product/project areas and teams

● 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.

SQL (Advanced) : Highly proficient in writing complex SQL queries for data extraction, manipulation, and analysis from various databases. 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. Sentry, Pendo, Google Analytics, Splunk) for tracking user behavior, engagement, and feature adoption.

Deep understanding of the B2B SaaS fintech business model, sales cycles, customer journey, and revenue drivers.

Ability to translate data insights into actionable product recommendations and contribute to product strategy and roadmap development.

Market Research & Competitive Analysis: Experience in conducting market research, analyzing competitor products and strategies, and identifying market opportunities.

User Experience (UX) Understanding: Ability to analyze user behavior data to identify pain points, optimize user flows, and enhance overall user experience.

Highly analytical and methodical approach to identifying problems, breaking them down, and developing data-driven solutions.

Logical Thinking : Exceptional ability to think critically, identify underlying issues, and construct sound arguments based on data.

Excellent presentation skills, ability to articulate complex concepts clearly and concisely to both technical and non-technical audiences. A self-starter with a strong sense of curiosity, a desire to dig deeper into data, and a proactive approach to identifying opportunities.

Ability to thrive in a fast-paced, dynamic B2B SaaS environment and adapt to evolving priorities.

We are Globally Local

It's a lot of responsibility, but also a lot of fun.

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