Job
Description
About the Role The newly created Global Business Technology (GBT) team at Chargebee is at the forefront of all major Chargebee growth and strategic initiatives. As such, we are looking to staff the team with the top talent at the organization. We are looking for a Senior Business Analyst with deep experience in Finance operations , data infrastructure , and a strong understanding of how AI/ML can drive smarter decision-making and higher efficiency in a high-growth SaaS/Fintech environment. Reporting to the Senior Manager of the Business Systems Solutions team, this hands-on role bridges the gap between business stakeholders and technical teams, helping define and execute data-driven solutions that power our strategic goals. The role will also encompass a degree of hands-on configuration and testing of changes to these systems for the company to allow for future scalability, growth and standardization. Key Responsibilities Partner with Finance, Revenue Operations, and GTM teams to translate business requirements into scalable technology, process and data solutions. Develop comprehensive business requirements documentation into user stories and process maps for system enhancements and data initiatives. Promote standardised/out of the box solutions where possible, and partner with engineering and product teams where these solutions are non-standard Lead initiatives to improve financial analytics, forecasting models, and reporting accuracy using cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). Drive AI/ML adoption by identifying use cases for automation, predictive analytics, and optimization (e.g., churn prediction, dynamic pricing). Collaborate with Data Engineering and BI teams to ensure data models and pipelines support evolving business needs. Champion self-service analytics and data literacy across departments. Conduct root cause analysis, opportunity sizing, and scenario modeling to inform high-stakes decisions. Provide analytical support during audits, budgeting, and board-level reporting cycles. Required Qualifications 5–8+ years of experience as a Business Analyst or similar role, preferably in a SaaS or Fintech company. Strong understanding of Finance functions (FP&A, Revenue Recognition, Billing, SaaS metrics like LTV, CAC, ARR). Hands-on experience with data warehousing tools (Snowflake, BigQuery, Redshift) and SQL proficiency. Familiarity with AI/ML concepts, models, and their practical application in business workflows. Proven ability to work across cross-functional teams, including Engineering, Finance, Product, and Ops. Ability to pivot between high level business discussions and in-depth technical discussions, keeping strategic goals in mind at all times Advanced Excel/Google Sheets skills, experience with Jira as well as BI tools (Tableau, Looker, Power BI) Excellent communication, storytelling, and documentation skills. Preferred Qualifications Experience with AI platforms or LLM-based tools and leveraging them in line with strategic business goals Exposure to financial systems like NetSuite, Chargebee, Stripe Experience working in Agile/Scrum environments. Knowledge of regulatory and compliance requirements relevant to financial data. Show more Show less
