SD Solutions is looking for a talented **Business Operations Analyst – Card LOB,** to step onto a fintech unicorn rocketship! This role blends business analysis, process improvement, and data visualization to help drive efficient operations and informed decision\-making across the Card organization. The ideal candidate is proactive, analytical, and thrives in a fast\-paced environment. Company offers a hybrid format of work: (hybrid office visit \- 3 days in the office/2 remote). The office is located in Edificio Select, Cra. 29c, El Poblado, Medellín, Antioquia, Colombia. **Responsibilities:** **Data Analytics** * Manage and process operational, customer, and supplier data with accuracy and consistency across systems. * Execute and troubleshoot macros and scripts in Excel or Google Sheets to create customized analyses using standard business assumptions. * Leverage AI tools and machine learning–driven analytics to automate data preparation, identify patterns, and enhance insight generation. * Develop and maintain dashboards and reports in Power BI, Excel, Google Sheets, and Salesforce to provide actionable insights for leadership. * Conduct recurring and ad\-hoc analyses to identify trends, performance drivers, risks, and improvement opportunities. * Refine and interpret analytical outputs into polished, business\-ready visualizations and presentations aligned with organizational goals. * Transform and visualize complex datasets into clear, actionable insights for business stakeholders. **Process Improvement / Operational Efficiency** * Collaborate across the team to streamline reporting processes, enhance data workflows, and support continuous improvement initiatives. * Lead and implement automation projects to reduce manual effort and improve accuracy through data integration and AI\-driven process optimization tools. * Build and refine scalable processes for consistent, high\-quality data reporting and operational efficiency. * Use AI\-assisted solutions to monitor performance trends, detect anomalies, and recommend process enhancements. * Support leadership and business partners with timely analyses, KPI tracking, and performance reporting aligned with organizational goals. * Balance multiple stakeholder requests while meeting SLA requirements and maintaining precision and quality. * Automate workflows and integrate data sources. * Build scalable reporting frameworks. * Adapt quickly to evolving tools, priorities, and business needs while ensuring accuracy and timely delivery. **Requirements:** * Minimum of 2 years of relevant experience in business operations, analytics, or a similar role. * Advanced Excel and Google Sheets proficiency (formulas, pivot tables, macros, scripts). * Experience with BI tools (Power BI, Tableau, or Sigma). * Proficiency in Salesforce reporting, dashboard management, and data integration. * Experience leveraging AI and automation platforms such as ChatGPT, Microsoft Copilot, Power BI Copilot, and Python\-based AI/ML tools for data analysis, reporting, or process optimization. * Strong analytical, problem\-solving, and data interpretation skills. * Excellent communication, organization, and multitasking ability. * Proven capacity to manage multiple projects and priorities independently in a fast\-paced setting. **About the company:** Tipalti is transforming finance and helping the hottest companies grow and scale their global finance operations. We’re also growing through a sustainable business model and looking to remove days of finance work every week so business leaders can focus on building a future\-proofed, best\-in\-class finance operation. World\-changing businesses like Amazon, Twitch, Twitter, and Roblox use Tipalti to automate and scale their finance operations. The only way we can continue to support companies looking to transform their FinOps functions through our platform is with great people. It is a global payables automation platform that provides a cloud solution to scale and automate global payables operations. The startup has already raised $565M funding. Job Type: Full\-time