Revenue operations analyst

2 weeks ago

Chennai, India Chargebee Full time
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 Saa S and subscription-first businesses process over billions of dollars in revenue every year through the Chargebee platform.
Headquartered in San Francisco, USA, our 1000+ 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:
Chargebee is seeking an experienced Data Scientist with expertise in Revenue Operations (Rev Ops) to join our team. As a Data Scientist with Rev Ops experience, you will play a crucial role in analyzing revenue data, developing predictive models, and providing insights to drive revenue growth and operational efficiency. The ideal candidate will have a strong background in data science and revenue operations, with a proven track record of using data-driven approaches to optimize revenue performance.
Responsibilities:
Collaborate with cross-functional teams, including Sales, Marketing, Finance, and Customer Success, to understand revenue operations requirements and objectives.
Analyze revenue data to identify trends, patterns, and opportunities for improvement.
Develop and implement predictive models and algorithms to forecast revenue and identify potential risks and opportunities.
Utilize statistical analysis and machine learning techniques to uncover insights and drive data-informed decision-making.
Work closely with revenue operations teams to optimize revenue processes and identify areas for improvement.
Provide data-driven recommendations and insights to drive revenue growth and operational efficiency.
Communicate findings and insights to stakeholders through reports, presentations, and visualizations.
Stay up-to-date with the latest trends and advancements in data science and revenue operations.
Requirements:
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. Master's or Ph. D. degree is a plus.
Minimum of 5 years of experience in data science
Strong proficiency in programming languages such as Python or R.
Experience with data visualization tools such as Tableau or Power BI.
Proficient in using statistical analysis and machine learning techniques.
Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
Previous Ops experience would be a good to have
Excellent communication and presentation skills, with the ability to effectively convey technical information to non-technical stakeholders.
Proven ability to work collaboratively in a cross-functional team environment.
Experience with revenue forecasting, pipeline management, or sales analytics is a plus.

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