Job Title: Analyst Order Governance Department: Center of Excellence (CoE) Location: Medellin, Col Reports to: [Manager/Lead Name], Manager of Center of Excellence About Us: At Kaseya, we are at the forefront of innovation, leveraging data and cutting-edge technology to drive transformation across all departments. The Center of Excellence (CoE) is our strategic team of consultants and experts dedicated to driving change, improving efficiency, and embedding data-driven decision-making throughout the organization. As a member of this team, you will play a key role in helping our departments optimize their processes, harness the power of data and AI, and achieve sustainable business outcomes. Position Overview: We are seeking a motivated and results-driven Analyst to join our Center of Excellence (CoE) team. In this role, you will be responsible for driving data-driven insights, supporting transformation projects, and implementing AI-powered solutions across various departments. You will collaborate closely with cross-functional teams to identify areas for improvement, optimize workflows, and guide data strategy initiatives that enhance overall business performance. As an Analyst in CoE, you will be trained as a consultant with deep expertise in data analysis, AI, and process optimization, enabling you to provide impactful support across multiple departments. Key Responsibilities: Data Analysis & Reporting: Collect, analyze, and interpret data from various sources to uncover insights that drive actionable improvements in business processes. Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) across departments. Create data models and conduct predictive analytics to assist departments in forecasting and decision-making. AI & Automation Support: Assist in the identification and implementation of AI solutions to automate processes and enhance decision-making. Work closely with the CoE team to pilot and scale AI initiatives that optimize workflows and increase operational efficiency. Provide support in the development of machine learning models, data pipelines, and automation tools. Consultative Support: Partner with various departments to understand their challenges and opportunities for process improvement. Serve as a consultant to help departments identify opportunities for data-driven optimization. Provide guidance on best practices for utilizing data, analytics, and AI to enhance business processes and outcomes. Process Optimization: Conduct process mapping and optimization exercises to streamline workflows and reduce inefficiencies. Recommend and implement best-in-class data strategies and process enhancements to ensure continuous improvement across the organization. Collaboration & Training: Collaborate with stakeholders from different departments to ensure alignment and effective implementation of transformation initiatives. Support the development of training materials and provide training to department teams on how to leverage data and AI solutions. Foster a data-driven culture across the organization by promoting best practices in data analysis and automation. Continuous Learning & Development: Stay up-to-date with the latest trends and technologies in data analytics, AI, and process optimization. Participate in ongoing training and professional development opportunities to build expertise in relevant tools and methodologies. Required Qualifications: Bachelor’s degree in Business, Data Science, Engineering, Computer Science, or a related field. Strong analytical skills with experience in data analysis, statistical modeling, and reporting. Familiarity with AI technologies and their application in business process optimization. Proficiency in data analysis tools (e.g., Excel, SQL, Python, R, etc.). Knowledge of process improvement methodologies (e.g., Lean, Six Sigma) is a plus. Ability to communicate complex data findings in a clear and concise manner to non-technical stakeholders. Strong problem-solving skills and ability to think strategically. Excellent collaboration and interpersonal skills, with a consultative mindset. #J-18808-Ljbffr