Business Operations Analyst at DataVisor

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

0.0

Posted On

26 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

System Integrations, Data Enrichment, Dashboard Building, Operational Analysis, Business Trends, Data-Driven Decision-Making, Executive Deliverables, Analytical Thinking, Strategic Thinking, Communication, Collaboration, CRM, Marketing Automation, Project Management

Industry

Software Development

Description

About DataVisor DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real-time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide guaranteed performance lift from day one. The flexible architecture of DataVisor's platform allows enterprises to power sophisticated and complex use cases across different businesses while dramatically lowering the total cost of ownership. DataVisor is recognized as an industry leader and has been adopted by Fortune 500 companies globally across many industries. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Key Responsibilities: Manage, configure, and optimize operational software systems across key business functions, including Marketing, Sales, Customer Success, and other teams. Support system integrations and enhancements for platforms such as CRM, marketing automation, project management, and data enrichment tools. Build and maintain dashboards and reports to consolidate cross-functional data and deliver actionable business insights to senior leadership. Conduct proactive operational analysis to identify business trends, uncover inefficiencies, and support data-driven decision-making. Partner with stakeholders to prepare executive-level deliverables, including recurring business performance summaries and board meeting presentations. Act as a day-to-day resource for data and system-related requests, ensuring teams have the tools and insights needed to execute efficiently. Self-starter who thrives in fast-paced, unstructured environments with limited resources — comfortable wearing multiple hats and driving progress without a playbook. Resourceful and action-oriented; takes ownership to find creative solutions, remove roadblocks, and move things forward rather than waiting for direction. Quick learner with a strong sense of curiosity — especially interested in leveraging AI-powered tools to improve efficiency and impact. Solid analytical thinking and a practical understanding of business operations and workflows. Sharp attention to detail with the ability to think strategically. Strong communicator and collaborator, able to work effectively across technical and non-technical teams. A bachelor’s degree is required, majoring in business, data science, economy and other related fields; an MBA is a plus. U.S. citizens or green card holders only. Why Join DataVisor? Work with cutting-edge AI-driven fraud detection technology. Collaborate with top-tier experts in fraud prevention and cybersecurity. Make a significant impact in protecting global enterprises from fraud threats. Enjoy a dynamic, fast-paced, and collaborative work environment.

Responsibilities

The analyst will manage and optimize operational software systems across Marketing, Sales, and Customer Success, while also supporting system integrations and enhancements for various platforms. Key duties include building reports to deliver actionable insights and conducting proactive operational analysis to identify business trends and inefficiencies.