AI Data Operations Analyst
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About the role
At Metaprise, we're building the world's first Financial Operating System - an AI Agent-powered platform that unifies Accounts Receivable, Accounts Payable, Contract Management, SmartFlow Automation, and Cash Management into a single intelligent hub. We help enterprises eliminate operational gaps between financial tools, giving them total control over data flow and cash flow. Backed by real customers in the US and global expansion momentum, we're scaling fast and looking for builders who thrive in high-growth, high-impact environments. We understand that in reality, exceptional individuals may not always perfectly match every requirement. This is why we value potential as much as experience in our hiring process. Even if you don't check every box in the job description, if you believe this role and our company align well with you, we encourage you to apply. Join a team dedicated to safeguarding, healing, and nurturing a cleaner and healthier world. At Metaprise, all qualified applicants will be considered for employment without regard to age, disability, or medical condition; ethnicity, race, citizenship, and national origin; religion or faith; family status, pregnancy, and caring responsibilities; sexual orientation; gender identity, gender expression, and transgender identity; protected veteran status; size or any other protected basis under appropriate law.
Requirements
- Bachelor's degree or above, preferably in data science, statistics, business analytics, computer science, marketing or related fields.
- Fresh graduates or those with internship experience in data operations, market research, sales operations or business analysis, preferably in B2B SaaS or technology companies.
- Solid data analysis skills; candidates with basic SQL knowledge will be given priority.
- Familiar with CRM systems (Salesforce or HubSpot); understand sales processes and sales funnel management.
- Attention to detail, strong sense of responsibility for data quality.
- Good cross-team communication and collaboration skills; able to work independently in a fast-paced environment.
- Curious about artificial intelligence and data technology, and have strong self-learning ability.
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